Dr. James P. Theiler Profile

Dr. James P. Theiler

Retired

SPIE Involvement:

Conference Program Committee | Author

Publications (91)

Proceedings Article | 7 June 2024 Presentation + Paper

Shrinkage estimators for covariance matrices in spectral remote sensing

James Theiler

Proceedings Volume 13031, 1303102 (2024) https://doi.org/10.1117/12.3013942

KEYWORDS: Shrinkage, Covariance matrices, Covariance, Remote sensing, Cross validation, Target detection, Mahalanobis distance, Hyperspectral imaging, Statistical analysis

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Proceedings Article | 13 June 2023 Presentation + Paper

Anisotropic background models for spectral target detection

James Theiler

Proceedings Volume 12519, 125190R (2023) https://doi.org/10.1117/12.2660856

KEYWORDS: Target detection, Data modeling, Hyperspectral target detection, Detection and tracking algorithms, Clutter, Spectral models, Covariance matrices, Product distribution, Performance modeling, Hyperspectral imaging

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Proceedings Article | 30 September 2022 Presentation + Paper

Iterative R and R (rotation and remarginalization) for detecting targets in spectral imagery

James Theiler, Christopher Ren

Proceedings Volume 12235, 122350C (2022) https://doi.org/10.1117/12.2633590

KEYWORDS: Target detection, Sensors, Detection and tracking algorithms, Data modeling, Remote sensing, Hyperspectral target detection, Algorithm development, Absorption

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SPIE Journal Paper | 14 September 2021

Multi-sensor anomalous change detection in remote sensing imagery

Amanda Ziemann, Christopher Ren, James Theiler

JARS, Vol. 15, Issue 04, 042411, (September 2021) https://doi.org/10.1117/12.10.1117/1.JRS.15.042411

KEYWORDS: Multispectral imaging, Sensors, Synthetic aperture radar, Remote sensing, Earth observing sensors, Landsat, Satellites, Satellite imaging, Image sensors, Vegetation

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Proceedings Article | 2 August 2021 Presentation + Paper

The NACHOS CubeSat-based hyperspectral imager: laboratory and field performance characterization

Kirk Post, Logan Ott, Magdalena Dale, Claira Safi, Kerry Boyd, Hannah Mohr, James Theiler, Bernard Foy, Markus Hehlen, Christian Ward, Michael Caffrey, C. Glen Peterson, Ryan Hemphill, Manvendra Dubey, Steven Love

Proceedings Volume 11832, 118320F (2021) https://doi.org/10.1117/12.2594686

KEYWORDS: Hyperspectral imaging, Spatial resolution, Satellites, Imaging systems, Earth sciences

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Proceedings Article | 2 August 2021 Presentation + Paper

NACHOS, a CubeSat-based high-resolution UV-Visible hyperspectral imager for remote sensing of trace gases: system overview and science objectives

Steven Love, Logan Ott, Kirk Post, Magdalena Dale, Claira Safi, Kerry Boyd, Hannah Mohr, Christian Ward, Michael Caffrey, James Theiler, Bernard Foy, Markus Hehlen, Charles Glen Peterson, Ryan Hemphill, James Wren, Arthur Guthrie, David Graff, Nicholas Dallmann, Paul Stein, Manvendra Dubey

Proceedings Volume 11832, 118320E (2021) https://doi.org/10.1117/12.2594336

KEYWORDS: Satellites, Charge-coupled devices, Hyperspectral imaging, Imaging systems, Gases, Mirrors, Spatial resolution, Diffraction gratings, Spectroscopy, Calibration, Passive remote sensing, Optical gas detection

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Proceedings Article | 1 August 2021 Presentation + Paper

Distilled Gaussianization

James Theiler, Christopher Ren

Proceedings Volume 11843, 118430G (2021) https://doi.org/10.1117/12.2594598

KEYWORDS: Neural networks, Machine learning, Target detection, Statistical analysis, Visualization, Remote sensing, Radon, Matrices

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Proceedings Article | 23 April 2021 Presentation + Paper

Deepfaking it: experiments in generative, adversarial multispectral remote sensing

Christopher Ren, Amanda Ziemann, James Theiler, Juston Moore

Proceedings Volume 11727, 117270M (2021) https://doi.org/10.1117/12.2587753

KEYWORDS: Remote sensing, Video, Gallium nitride, Data modeling, Virtual reality, Silicon, Satellites, Satellite imaging, Neural networks, Motion models

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Proceedings Article | 12 April 2021 Presentation + Paper

Veritas: an admissible detector for targets of unknown strength

James Theiler

Proceedings Volume 11727, 117270B (2021) https://doi.org/10.1117/12.2586125

KEYWORDS: Sensors, Target detection, Signal detection, Machine learning, Linear filtering, Gaussian filters, Electronic filtering

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Proceedings Article | 19 May 2020 Paper

Deep snow: synthesizing remote sensing imagery with generative adversarial nets

Christopher Ren, Amanda Ziemann, James Theiler, Alice M. Durieux

Proceedings Volume 11392, 113920T (2020) https://doi.org/10.1117/12.2560716

KEYWORDS: Remote sensing, RGB color model, Image quality, Clouds, Image processing, Data modeling, Neural networks, Visualization, Machine learning

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Proceedings Article | 19 May 2020 Presentation + Paper

Experiments in anomalous change detection with the Viareggio 2013 trial dataset

James Theiler, Michal Kucer, Amanda Ziemann

Proceedings Volume 11392, 1139211 (2020) https://doi.org/10.1117/12.2564106

KEYWORDS: Detection and tracking algorithms, Target detection, Sensors, Canonical correlation analysis, Hyperspectral imaging, Algorithm development, Machine learning, Dimension reduction

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Proceedings Article | 15 May 2020 Paper

Combining multispectral imagery and synthetic aperture radar for detecting deforestation

Elena Reinisch, Amanda Ziemann, Eric Flynn, James Theiler

Proceedings Volume 11392, 1139209 (2020) https://doi.org/10.1117/12.2558201

KEYWORDS: Synthetic aperture radar, Multispectral imaging, Vegetation, Interferometric synthetic aperture radar, Interferometry, Phase interferometry

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Forest destruction is a main contributor to carbon emissions and loss of biodiversity, making it a matter of global importance. Due to the large global footprint and often inaccessibility of forested areas, remote sensing is one of the most valuable techniques for monitoring deforestation. Spectral imaging is typically favored for material classification of forested areas and identification of broad swaths of deforestation. However, spectral data can fall short in detecting more subtle destruction beneath the forest canopy. Radar remote sensing can help fill this gap, as it has the ability to penetrate through tree canopies such that pixels capture backscatter information from both the canopy and material beneath it. Synthetic aperture radar in particular can capture this information at fine spatial resolution, and techniques such as polarimetry and interferometry can be used to measure biomass and detect deforestation. In this study, we compare synthetic aperture radar data with multispectral data to improve characterization and identification of source signatures captured within a pixel, with specific consideration to detecting areas where thinning is happening beneath the forest canopy. We focus on identifying different types of forest thinning in the Valles Caldera, located in the Jemez Mountains of northern New Mexico. We apply anomalous change detection to a combination of data products derived from multispectral imagery and synthetic aperture radar to determine which combinations are most effective at identifying anomalous features of interest in thinning regions. We find that comparing phase change measured by synthetic aperture radar interferometry to differenced vegetation indices highlights anomalous relationships in the thinning region. When comparing multispectral reflectance to backscatter intensity measured by synthetic aperture radar, the most successful temporal comparisons contained synthetic aperture radar data during the thinning period. This suggests that synthetic aperture radar enhances detection of thinning practices via remote sensing, especially in regards to changes taking place beneath the tree canopy. These results were improved even further by segmenting the images according to vegetation coverage prior to applying anomalous change detection techniques.

Proceedings Article | 6 September 2019 Paper

Simple generative model for assessing feature selection based on relevance, redundancy, and redundancy

James Theiler

Proceedings Volume 11139, 111390S (2019) https://doi.org/10.1117/12.2529614

KEYWORDS: Feature selection, Machine learning, Data modeling, Statistical analysis, Error analysis, Statistical modeling, Algorithm development, Systems modeling

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Proceedings Article | 14 May 2019 Paper

Multi-sensor anomalous change detection at scale

Amanda Ziemann, Christopher Ren, James Theiler

Proceedings Volume 10986, 1098615 (2019) https://doi.org/10.1117/12.2519167

KEYWORDS: Multispectral imaging, Synthetic aperture radar, Landsat, Remote sensing

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Proceedings Article | 14 May 2019 Presentation + Paper

Algorithm development with on-board and ground-based components for hyperspectral gas detection from small satellites

James Theiler, Steven Love

Proceedings Volume 10986, 109860O (2019) https://doi.org/10.1117/12.2519779

KEYWORDS: Sensors, Absorption, Satellites, Mahalanobis distance, Detection and tracking algorithms, Target detection, Atmospheric chemistry, Digital filtering, Atmospheric sensing

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Proceedings Article | 8 May 2018 Presentation + Paper

Onboard CubeSat data processing for hyperspectral detection of chemical plumes

James Theiler, Bernard Foy, Claira Safi, Steven Love

Proceedings Volume 10644, 1064405 (2018) https://doi.org/10.1117/12.2305278

KEYWORDS: Mahalanobis distance, Sensors, Hyperspectral imaging, Detection and tracking algorithms, Target detection, Data processing, Solids, Algorithm development

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Proceedings Article | 8 May 2018 Paper

A machine learning approach to hyperspectral detection of solid targets

Amanda Ziemann, Michal Kucer, James Theiler

Proceedings Volume 10644, 1064404 (2018) https://doi.org/10.1117/12.2305232

KEYWORDS: Target detection, Hyperspectral target detection, Machine learning, Detection and tracking algorithms, Hyperspectral imaging, Solids

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SPIE Journal Paper | 15 June 2017

Simplex ACE: a constrained subspace detector

Amanda Ziemann, James Theiler

OE, Vol. 56, Issue 08, 081808, (June 2017) https://doi.org/10.1117/12.10.1117/1.OE.56.8.081808

KEYWORDS: Sensors, Hyperspectral target detection, Target detection, Detection and tracking algorithms, Digital filtering, Hyperspectral imaging

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Proceedings Article | 5 May 2017 Presentation + Paper

Local background estimation and the replacement target model

James Theiler, Amanda Ziemann

Proceedings Volume 10198, 101980V (2017) https://doi.org/10.1117/12.2262833

KEYWORDS: RGB color model, Solids, Contamination, Target detection, Digital filtering, Gaussian filters, Sensors, Hyperspectral target detection, Image analysis, Hyperspectral imaging, Multispectral imaging, Signal detection, Performance modeling

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Proceedings Article | 5 May 2017 Paper

Experiments with Simplex ACE: dealing with highly variable targets

Amanda Ziemann, James Theiler, Emmett Ientilucci

Proceedings Volume 10198, 101980F (2017) https://doi.org/10.1117/12.2262031

KEYWORDS: Picosecond phenomena, RGB color model, Digital filtering, Chemical elements, Reflectivity, Target detection, Hyperspectral target detection, Sensors, Detection and tracking algorithms, Solids, Hyperspectral imaging

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Proceedings Article | 17 May 2016 Paper

Graph-based and statistical approaches for detecting spectrally variable target materials

Amanda Ziemann, James Theiler

Proceedings Volume 9840, 98400T (2016) https://doi.org/10.1117/12.2224091

KEYWORDS: Target detection, Hyperspectral target detection, Hyperspectral imaging, Detection and tracking algorithms, Solids, Particles, Sensors, Signal processing, Chemical analysis, RGB color model

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In discriminating target materials from background clutter in hyperspectral imagery, one must contend with variability in both. Most algorithms focus on the clutter variability, but for some materials there is considerable variability in the spectral signatures of the target. This is especially the case for solid target materials, whose signatures depend on morphological properties (particle size, packing density, etc.) that are rarely known a priori. In this paper, we investigate detection algorithms that explicitly take into account the diversity of signatures for a given target. In particular, we investigate variable target detectors when applied to new representations of the hyperspectral data: a manifold learning based approach, and a residual based approach. The graph theory and manifold learning based approach incorporates multiple spectral signatures of the target material of interest; this is built upon previous work that used a single target spectrum. In this approach, we first build an adaptive nearest neighbors (ANN) graph on the data and target spectra, and use a biased locally linear embedding (LLE) transformation to perform nonlinear dimensionality reduction. This biased transformation results in a lower-dimensional representation of the data that better separates the targets from the background. The residual approach uses an annulus based computation to represent each pixel after an estimate of the local background is removed, which suppresses local backgrounds and emphasizes the target-containing pixels. We will show detection results in the original spectral space, the dimensionality-reduced space, and the residual space, all using subspace detectors: ranked spectral angle mapper (rSAM), subspace adaptive matched filter (ssAMF), and subspace adaptive cosine/coherence estimator (ssACE). Results of this exploratory study will be shown on a ground-truthed hyperspectral image with variable target spectra and both full and mixed pixel targets.

Proceedings Article | 21 May 2015 Paper

Ellipsoids for anomaly detection in remote sensing imagery

Guenchik Grosklos, James Theiler

Proceedings Volume 9472, 94720P (2015) https://doi.org/10.1117/12.2177061

KEYWORDS: Mahalanobis distance, Data modeling, Statistical analysis, Target detection, Algorithm development, Remote sensing, Hyperspectral imaging, Detection and tracking algorithms, Sensors, Radon

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Proceedings Article | 21 May 2015 Paper

Symmetrized regression for hyperspectral background estimation

James Theiler

Proceedings Volume 9472, 94721G (2015) https://doi.org/10.1117/12.2177271

KEYWORDS: Target detection, Signal to noise ratio, Principal component analysis, Hyperspectral target detection, Hyperspectral imaging, Sensors, Detection and tracking algorithms, Remote sensing, Statistical analysis, Electrophoretic light scattering

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Proceedings Article | 13 June 2014 Paper

Transductive and matched-pair machine learning for difficult target detection problems

James Theiler

Proceedings Volume 9088, 90880E (2014) https://doi.org/10.1117/12.2048860

KEYWORDS: Machine learning, Target detection, Data modeling, Sensors, Binary data, Digital filtering, Statistical modeling, Linear filtering, Detection and tracking algorithms, Remote sensing

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Proceedings Article | 29 May 2013 Paper

Decoupling sparse coding of SIFT descriptors for large-scale visual recognition

Zhengping Ji, James Theiler, Rick Chartrand, Garrett Kenyon, Steven Brumby

Proceedings Volume 8750, 87500K (2013) https://doi.org/10.1117/12.2018204

KEYWORDS: Associative arrays, Visualization, Detection and tracking algorithms, Image classification, Algorithm development, Evolutionary algorithms, Scanning probe microscopy, Optimization (mathematics), Databases, Image segmentation

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Proceedings Article | 18 May 2013 Paper

Detection of unknown gas-phase chemical plumes in hyperspectral imagery

James Theiler, Brendt Wohlberg

Proceedings Volume 8743, 874315 (2013) https://doi.org/10.1117/12.2016211

KEYWORDS: Sensors, Detection and tracking algorithms, Hyperspectral imaging, Absorption, Target detection, Infrared signatures, Signal detection, Chemistry, Chemical species, Digital filtering

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SPIE Journal Paper | 29 June 2012

Formulation for min-max clairvoyant fusion based on monotonic recalibration of statistics

James Theiler

OE, Vol. 51, Issue 11, 111714, (June 2012) https://doi.org/10.1117/12.10.1117/1.OE.51.11.111714

KEYWORDS: Sensors, Signal detection, Detection and tracking algorithms, Target detection, Composites, Fourier transforms, Optical engineering, Optical filters, Sensor performance, Hyperspectral imaging

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Proceedings Article | 24 May 2012 Paper

Feature extraction, anomaly, and change detection on WorldView-2 imagery by hierarchical image segmentation: a study

Lakshman Prasad, James Theiler, Matthew Fair, Sriram Swaminarayan

Proceedings Volume 8390, 83901U (2012) https://doi.org/10.1117/12.919295

KEYWORDS: Image segmentation, Sensors, Feature extraction, Image analysis, Satellite imaging, Earth observing sensors, Satellites, Analytical research, Detection and tracking algorithms, Mahalanobis distance

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Proceedings Article | 9 May 2012 Paper

Confusion and clairvoyance: some remarks on the composite hypothesis testing problem

James Theiler

Proceedings Volume 8390, 839003 (2012) https://doi.org/10.1117/12.918888

KEYWORDS: Sensors, Composites, Target detection, Palladium, Affine motion model, Signal detection, Statistical modeling, Hyperspectral target detection, Holmium, Sensor performance

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Proceedings Article | 3 May 2012 Paper

The incredible shrinking covariance estimator

James Theiler

Proceedings Volume 8391, 83910P (2012) https://doi.org/10.1117/12.918718

KEYWORDS: Statistical analysis, Mahalanobis distance, Data modeling, Target detection, Chemical analysis, Data analysis, Error analysis, Statistical modeling, Matrices, Detection and tracking algorithms

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Proceedings Article | 20 May 2011 Paper

Overlapping image segmentation for context-dependent anomaly detection

James Theiler, Lakshman Prasad

Proceedings Volume 8048, 804807 (2011) https://doi.org/10.1117/12.883326

KEYWORDS: Image segmentation, Sensors, Detection and tracking algorithms, Image processing algorithms and systems, Computer simulations, Hyperspectral imaging, Target detection, Mahalanobis distance, Data modeling, Contamination

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Proceedings Article | 13 May 2010 Paper

Total least squares for anomalous change detection

James Theiler, Anna Matsekh

Proceedings Volume 7695, 76951H (2010) https://doi.org/10.1117/12.851935

KEYWORDS: Sensors, Berkelium, Detection and tracking algorithms, Transform theory, Promethium, Matrices, Algorithm development, Canonical correlation analysis, Resonance energy transfer, Mahalanobis distance

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Proceedings Article | 28 April 2010 Paper

Toward interactive search in remote sensing imagery

Reid Porter, Don Hush, Neal Harvey, James Theiler

Proceedings Volume 7709, 77090V (2010) https://doi.org/10.1117/12.850787

KEYWORDS: Machine learning, Data modeling, Remote sensing, Algorithm development, Visual analytics, Human-machine interfaces, Statistical modeling, Statistical analysis, Visualization, Environmental sensing

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Proceedings Article | 15 April 2010 Paper

Ship detection in satellite imagery using rank-order grayscale hit-or-miss transforms

Neal Harvey, Reid Porter, James Theiler

Proceedings Volume 7701, 770102 (2010) https://doi.org/10.1117/12.850886

KEYWORDS: Transform theory, Detection and tracking algorithms, Target detection, Satellite imaging, Satellites, Earth observing sensors, Image segmentation, Distance measurement, Binary data, Satellite communications

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Proceedings Article | 27 January 2010 Paper

Symmetrized local co-registration optimization for anomalous change detection

Brendt Wohlberg, James Theiler

Proceedings Volume 7533, 753307 (2010) https://doi.org/10.1117/12.845210

KEYWORDS: Detection and tracking algorithms, Image registration, Computer simulations, Hyperspectral imaging, Sensors, Image processing, Multispectral imaging, Image analysis, Neural networks, Machine learning

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Proceedings Article | 28 April 2009 Paper

A change detection approach to moving object detection in low fame-rate video

Reid Porter, Neal Harvey, James Theiler

Proceedings Volume 7341, 73410S (2009) https://doi.org/10.1117/12.818622

KEYWORDS: Sensors, Detection and tracking algorithms, Video, Statistical analysis, Spectral resolution, Silver, Information operations, Binary data, Remote sensing, Image analysis

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Proceedings Article | 28 April 2009 Paper

A structural framework for anomalous change detection and characterization

Lakshman Prasad, James Theiler

Proceedings Volume 7341, 73410N (2009) https://doi.org/10.1117/12.818977

KEYWORDS: Image segmentation, Sensors, Edge detection, Image processing, Detection and tracking algorithms, Cameras, Roads, Human vision and color perception, Long wavelength infrared, Shape analysis

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Proceedings Article | 27 April 2009 Paper

Simulation framework for spatio-spectral anomalous change detection

James Theiler, Neal Harvey, Reid Porter, Brendt Wohlberg

Proceedings Volume 7334, 73340P (2009) https://doi.org/10.1117/12.818632

KEYWORDS: Image processing, Detection and tracking algorithms, Computer simulations, Algorithm development, Sensors, Image enhancement, Image filtering, Linear filtering, Hyperspectral imaging, Remote sensing

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Proceedings Article | 3 February 2009 Paper

James Theiler, Clint Scovel

Proceedings Volume 7246, 72460T (2009) https://doi.org/10.1117/12.814325

KEYWORDS: Sensors, Hyperspectral imaging, Signal detection, Binary data, Data modeling, Calibration, Target detection, Detection and tracking algorithms, Sensor performance, Image classification

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Proceedings Article | 2 May 2008 Paper

Sensitivity of anomalous change detection to small misregistration errors

James Theiler

Proceedings Volume 6966, 69660X (2008) https://doi.org/10.1117/12.777215

KEYWORDS: Detection and tracking algorithms, Sensors, Palladium, Calibration, Image registration, Algorithm development, Computer simulations, Hyperspectral imaging, Cameras, Sensor performance

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Proceedings Article | 29 October 2007 Paper

Model and measurements of linear mixing in thermal IR ground leaving radiance spectra

Lee Balick, William Clodius, Christopher Jeffery, James Theiler, Matthew McCabe, Alan Gillespie, Amit Mushkin, Iryna Danilina

Proceedings Volume 6749, 674914 (2007) https://doi.org/10.1117/12.738102

KEYWORDS: Sensors, FT-IR spectroscopy, Atmospheric modeling, Thermography, Data modeling, Remote sensing, Temperature metrology, Thermal modeling, Infrared sensors, Solids

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Proceedings Article | 7 May 2007 Paper

Beyond the adaptive matched filter: nonlinear detectors for weak signals in high-dimensional clutter

James Theiler, Bernard Foy, Andrew Fraser

Proceedings Volume 6565, 656503 (2007) https://doi.org/10.1117/12.719952

KEYWORDS: Sensors, Signal detection, Electronic filtering, Digital filtering, Nonlinear filtering, Data modeling, Target detection, Linear filtering, Gaussian filters, Nonlinear optics

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Proceedings Article | 7 May 2007 Paper

Resampling approach for anomalous change detection

James Theiler, Simon Perkins

Proceedings Volume 6565, 65651U (2007) https://doi.org/10.1117/12.719972

KEYWORDS: Sensors, Binary data, Detection and tracking algorithms, Machine learning, Image analysis, Mahalanobis distance, Solids, Remote sensing, Hyperspectral imaging, Environmental sensing

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Proceedings Article | 4 May 2006 Paper

Nonlinear signal contamination effects for gaseous plume detection in hyperspectral imagery

James Theiler, Bernard Foy, Andrew Fraser

Proceedings Volume 6233, 62331U (2006) https://doi.org/10.1117/12.665608

KEYWORDS: Contamination, Signal detection, Image filtering, Absorption, Hyperspectral imaging, Electronic filtering, Nonlinear filtering, Digital filtering, Sensors, Linear filtering

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Proceedings Article | 4 May 2006 Paper

Sparse linear filters for detection and classification in hyperspectral imagery

James Theiler, Karen Glocer

Proceedings Volume 6233, 62330H (2006) https://doi.org/10.1117/12.665994

KEYWORDS: Linear filtering, Hyperspectral imaging, Data modeling, Convex optimization, Signal detection, Feature selection, Digital filtering, Multispectral imaging, Image classification, Electronic filtering

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Proceedings Article | 1 June 2005 Paper

Characterizing non-Gaussian clutter and detecting weak gaseous plumes in hyperspectral imagery

James Theiler, Bernard Foy, Andrew Fraser

Proceedings Volume 5806, (2005) https://doi.org/10.1117/12.604075

KEYWORDS: Sensors, Mahalanobis distance, Hyperspectral imaging, Signal detection, Data modeling, Nonlinear filtering, Linear filtering, Gaussian filters, Atmospheric physics, Expectation maximization algorithms

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Proceedings Article | 28 March 2005 Paper

Detecting a malicious executable without prior knowledge of its patterns

Dongming Cai, James Theiler, Maya Gokhale

Proceedings Volume 5812, (2005) https://doi.org/10.1117/12.603174

KEYWORDS: Principal component analysis, Tumor growth modeling, Machine learning, Vector spaces, Viruses, Computing systems, Data mining, Computer intrusion detection, Network security, Computer security

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Proceedings Article | 2 November 2004 Paper

Dynamic segmentation of gray-scale images in a computer model of the mammalian retina

Garrett Kenyon, Neal Harvey, Gregory Stephens, James Theiler

Proceedings Volume 5558, (2004) https://doi.org/10.1117/12.556482

KEYWORDS: Image segmentation, Retina, Neurons, Mode locking, Image processing algorithms and systems, Computer simulations, Visualization, Image processing, Protactinium, Image analysis

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Proceedings Article | 15 October 2004 Paper

Focus-of-attention strategies for finding discrete objects in multispectral imagery

Neal Harvey, James Theiler

Proceedings Volume 5546, (2004) https://doi.org/10.1117/12.555857

KEYWORDS: Detection and tracking algorithms, Machine learning, Multispectral imaging, Image classification, Remote sensing, Image analysis, Image processing, Image resolution, Image processing algorithms and systems, Image segmentation

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Proceedings Article | 12 April 2004 Paper

Scene analysis and detection in thermal infrared remote sensing using independent component analysis

Bernard Foy, James Theiler

Proceedings Volume 5439, (2004) https://doi.org/10.1117/12.542442

KEYWORDS: Independent component analysis, Remote sensing, Thermography, Infrared radiation, Chemical analysis, Infrared detectors, Infrared sensors, Infrared imaging, Computer simulations

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Proceedings Article | 7 January 2004 Paper

LANL experience with coregistration of MTI imagery

Paul Pope, James Theiler, Amy Galbraith

Proceedings Volume 5159, (2004) https://doi.org/10.1117/12.509855

KEYWORDS: Image registration, Sensors, Georeferencing, Calibration, Satellites, Multispectral imaging, Image acquisition, Satellite imaging, Earth observing sensors, Charge-coupled devices

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Proceedings Article | 7 January 2004 Paper

LANL MTI science team experience

Lee Balick, Christopher Borel, Petr Chylek, William Clodius, Anthony Davis, Bradley Henderson, Amy Galbraith, Stefanie Lawson, Paul Pope, Andrew Rodger, James Theiler

Proceedings Volume 5159, (2004) https://doi.org/10.1117/12.509781

KEYWORDS: Clouds, Aerosols, Reflectivity, Atmospheric modeling, Calibration, Data modeling, Satellites, Algorithm development, Model-based design, Thermography

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The Multispectral Thermal Imager (MTI) is a technology test and demonstration satellite whose primary mission involved a finite number of technical objectives. MTI was not designed, or supported, to become a general purpose operational satellite. The role of the MTI science team is to provide a core group of system-expert scientists who perform the scientific development and technical evaluations needed to meet programmatic objectives. Another mission for the team is to develop algorithms to provide atmospheric compensation and quantitative retrieval of surface parameters to a relatively small community of MTI users. Finally, the science team responds and adjusts to unanticipated events in the life of the satellite. Broad or general lessons learned include the value of working closely with the people who perform the calibration of the data as well as those providing archived image and retrieval products. Close interaction between the Los Alamos National Laboratory (LANL) teams was very beneficial to the overall effort as well as the science effort. Secondly, as time goes on we make increasing use of gridded global atmospheric data sets which are products of global weather model data assimilation schemes. The Global Data Assimilation System information is available globally every six hours and the Rapid Update Cycle products are available over much of the North America and its coastal regions every hour. Additionally, we did not anticipate the quantity of validation data or time needed for thorough algorithm validation. Original validation plans called for a small number of intensive validation campaigns soon after launch. One or two intense validation campaigns are needed but are not sufficient to define performance over a range of conditions or for diagnosis of deviations between ground and satellite products. It took more than a year to accumulate a good set of validation data. With regard to the specific programmatic objectives, we feel that we can do a reasonable job on retrieving surface water temperatures well within the 1°C objective under good observing conditions. Before the loss of the onboard calibration system, sea surface retrievals were usually within 0.5°C. After that, the retrievals are usually within 0.8°C during the day and 0.5°C at night. Daytime atmospheric water vapor retrievals have a scatter that was anticipated: within 20%. However, there is error in using the Aerosol Robotic Network retrievals as validation data which may be due to some combination of calibration uncertainties, errors in the ground retrievals, the method of comparison, and incomplete physics. Calibration of top-of-atmosphere radiance measurements to surface reflectance has proven daunting. We are not alone here: it is a difficult problem to solve generally and the main issue is proper compensation for aerosol effects. Getting good reflectance validation data over a number of sites has proven difficult but, when assumptions are met, the algorithm usually performs quite well. Aerosol retrievals for off-nadir views seem to perform better than near-nadir views and the reason for this is under investigation. Land surface temperature retrieval and temperature-emissivity separations are difficult to perform accurately with multispectral sensors. An interactive cloud masking system was implemented for production use. Clouds are so spectrally and spatially variable that users are encouraged to carefully evaluate the delivered mask for their own needs. The same is true for the water mask. This mask is generated from a spectral index that works well for deep, clear water, but there is much variability in water spectral reflectance inland and along coasts. The value of the second-look maneuvers has not yet been fully or systematically evaluated. Early experiences indicated that the original intentions have marginal value for MTI objectives, but potentially important new ideas have been developed. Image registration (the alignment of data from different focal planes) and band-to-band registration has been a difficult problem to solve, at least for mass production of the images in a processing pipeline. The problems, and their solutions, are described in another paper.

Proceedings Article | 30 December 2003 Paper

Multimodal approach to feature extraction for image and signal learning problems

Damian Eads, Steven Williams, James Theiler, Reid Porter, Neal Harvey, Simon Perkins, Steven Brumby, Nancy David

Proceedings Volume 5200, (2003) https://doi.org/10.1117/12.506611

KEYWORDS: Image classification, Feature extraction, Computer programming, Binary data, Remote sensing, Genetics, Pattern recognition, Data modeling, Machine learning, Multispectral imaging

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Proceedings Article | 10 November 2003 Paper

Photogrammetric image registration (PIR) of MTI imagery

Paul Pope, James Theiler

Proceedings Volume 5151, (2003) https://doi.org/10.1117/12.505758

KEYWORDS: Sensors, Motion models, Georeferencing, Systems modeling, Satellites, Image registration, Image acquisition, Mathematical modeling, Databases, RGB color model

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Proceedings Article | 23 September 2003 Paper

Resampling approach for anomaly detection in multispectral images

James Theiler, D. Cai

Proceedings Volume 5093, (2003) https://doi.org/10.1117/12.487069

KEYWORDS: Data modeling, Multispectral imaging, Optical spheres, Machine learning, Binary data, Automatic target recognition, Statistical analysis, Target recognition, Data analysis, Image analysis

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Proceedings Article | 23 September 2003 Paper

Automated image registration (AIR) of MTI imagery

Paul Pope, James Theiler

Proceedings Volume 5093, (2003) https://doi.org/10.1117/12.485702

KEYWORDS: Image registration, Image processing, Error analysis, Accuracy assessment, Multispectral imaging, Visible radiation, Satellites, Sensors, Infrared imaging, Feature extraction

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Proceedings Article | 23 September 2003 Paper

Resampling methods for the MTI coregistration product

Amy Galbraith, James Theiler, Steven Bender

Proceedings Volume 5093, (2003) https://doi.org/10.1117/12.485985

KEYWORDS: Sensors, Satellites, Distortion, Image registration, Convolution, Multispectral imaging, Thermography, Satellite imaging, Algorithm development, Space operations

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Proceedings Article | 1 April 2003 Paper

Investigation of automated feature extraction using multiple data sources

Neal Harvey, Simon Perkins, Paul Pope, James Theiler, Nancy David, Reid Porter

Proceedings Volume 5099, (2003) https://doi.org/10.1117/12.485867

KEYWORDS: Sensors, Earth observing sensors, Landsat, High resolution satellite images, Image sensors, Image classification, Vegetation, Feature extraction, Image fusion, Data fusion

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Proceedings Article | 6 December 2002 Paper

Genetic algorithms and support vector machines for time series classification

Damian Eads, Daniel Hill, Sean Davis, Simon Perkins, Junshui Ma, Reid Porter, James Theiler

Proceedings Volume 4787, (2002) https://doi.org/10.1117/12.453526

KEYWORDS: Feature selection, Evolutionary algorithms, Feature extraction, Computer programming, Satellites, Genetic algorithms, Genetics, Data acquisition, Machine learning, Convolution

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Proceedings Article | 2 August 2002 Paper

Feature extraction from multiple data sources using genetic programming

John Szymanski, Steven Brumby, Paul Pope, Damian Eads, Diana Esch-Mosher, Mark Galassi, Neal Harvey, Hersey McCulloch, Simon Perkins, Reid Porter, James Theiler, Aaron Young, Jeffrey Bloch, Nancy David

Proceedings Volume 4725, (2002) https://doi.org/10.1117/12.478765

KEYWORDS: Feature extraction, Multispectral imaging, Genetics, Image processing, Computer programming, Data modeling, Sensors, Evolutionary algorithms, Machine learning, Remote sensing

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Proceedings Article | 2 August 2002 Paper

Automated coregistration of MTI spectral bands

James Theiler, Amy Galbraith, Paul Pope, Keri Ramsey, John Szymanski

Proceedings Volume 4725, (2002) https://doi.org/10.1117/12.478763

KEYWORDS: Satellites, Space operations, Image quality, Calibration, Thermography, Infrared imaging, Multispectral imaging, Distortion, Staring arrays, Satellite imaging

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Proceedings Article | 2 August 2002 Paper

Automated simultaneous multiple feature classification of MTI data

Neal Harvey, James Theiler, Lee Balick, Paul Pope, John Szymanski, Simon Perkins, Reid Porter, Steven Brumby, Jeffrey Bloch, Nancy David, Mark Galassi

Proceedings Volume 4725, (2002) https://doi.org/10.1117/12.478767

KEYWORDS: Image classification, Clouds, Classification systems, Image processing, Sulfur, Feature extraction, Image segmentation, Multispectral imaging, Thermography, Remote sensing

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Proceedings Article | 17 January 2002 Paper

Applying reconfigurable hardware to the analysis of multispectral and hyperspectral imagery

Miriam Leeser, Pavle Belanovic, Michael Estlick, Maya Gokhale, John Szymanski, James Theiler

Proceedings Volume 4480, (2002) https://doi.org/10.1117/12.453329

KEYWORDS: Multispectral imaging, Hyperspectral imaging, Clocks, Image processing, Image segmentation, Field programmable gate arrays, Algorithm development, Image analysis, Image resolution, Earth observing sensors

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Proceedings Article | 17 January 2002 Paper

Evolving land cover classification algorithms for multispectral and multitemporal imagery

Steven Brumby, James Theiler, Jeffrey Bloch, Neal Harvey, Simon Perkins, John Szymanski, Aaron Young

Proceedings Volume 4480, (2002) https://doi.org/10.1117/12.453331

KEYWORDS: Landsat, Image classification, Remote sensing, Binary data, Multispectral imaging, Clouds, Image processing, Satellites, Machine learning, Earth observing sensors

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Proceedings Article | 17 January 2002 Paper

Co-design of software and hardware to implement remote sensing algorithms

James Theiler, Janette Frigo, Maya Gokhale, John Szymanski

Proceedings Volume 4480, (2002) https://doi.org/10.1117/12.453328

KEYWORDS: Data centers, Remote sensing, Logic, Expectation maximization algorithms, Image segmentation, Image processing algorithms and systems, Field programmable gate arrays, Algorithm development, Multispectral imaging, Data processing

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Proceedings Article | 20 August 2001 Paper

MTI science, data products, and ground-data processing overview

John Szymanski, William Atkins, Lee Balick, Christoph Borel, William Clodius, R. Wynn Christensen, Anthony Davis, J. Echohawk, Amy Galbraith, Karen Hirsch, James Krone, Cynthia Little, Peter McLachlan, Aaron Morrison, Kimberly Pollock, Paul Pope, Curtis Novak, Keri Ramsey, Emily Riddle, Charles Rohde, Diane Roussel-Dupre, Barham Smith, Kathy Smith, Kim Starkovich, James Theiler, Paul Weber

Proceedings Volume 4381, (2001) https://doi.org/10.1117/12.437009

KEYWORDS: Calibration, Clouds, Satellites, Atmospheric modeling, Data processing, Thermography, Algorithm development, Multispectral imaging, Data modeling, Vegetation

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Proceedings Article | 20 August 2001 Paper

Evolving forest fire burn severity classification algorithms for multispectral imagery

Steven Brumby, Neal Harvey, Jeffrey Bloch, James Theiler, Simon Perkins, Aaron Young, John Szymanski

Proceedings Volume 4381, (2001) https://doi.org/10.1117/12.437013

KEYWORDS: Landsat, Image processing, Image classification, Remote sensing, Multispectral imaging, Genetic algorithms, Machine learning, Binary data, Satellites, Earth observing sensors

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Proceedings Article | 15 November 2000 Paper

Design issues for hardware implementation of an algorithm for segmenting hyperspectral imagery

James Theiler, Miriam Leeser, Michael Estlick, John Szymanski

Proceedings Volume 4132, (2000) https://doi.org/10.1117/12.406577

KEYWORDS: Image segmentation, Hyperspectral imaging, Field programmable gate arrays, Distance measurement, Data centers, Image compression, Data modeling, Image processing algorithms and systems, Optical spheres, Monte Carlo methods

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Proceedings Article | 15 November 2000 Paper

Using blocks of skewers for faster computation of pixel purity index

James Theiler, Dominique Lavenier, Neal Harvey, Simon Perkins, John Szymanski

Proceedings Volume 4132, (2000) https://doi.org/10.1117/12.406610

KEYWORDS: Multispectral imaging, Field programmable gate arrays, Remote sensing, Optical spheres, Binary data, Principal component analysis, Array processing, Imaging spectrometry, Detection and tracking algorithms, Hyperspectral imaging

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Proceedings Article | 15 November 2000 Paper

Advanced processing for high-bandwidth sensor systems

John Szymanski, Phil Blain, Jeffrey Bloch, Christopher Brislawn, Steven Brumby, Maureen Cafferty, Mark Dunham, Janette Frigo, Maya Gokhale, Neal Harvey, Garrett Kenyon, Won-Ha Kim, J. Layne, Dominique Lavenier, Kevin McCabe, Melanie Mitchell, Kurt Moore, Simon Perkins, Reid Porter, S. Robinson, Alfonso Salazar, James Theiler, Aaron Young

Proceedings Volume 4132, (2000) https://doi.org/10.1117/12.406575

KEYWORDS: Digital signal processing, Field programmable gate arrays, Sensors, Signal processing, Image processing, Algorithm development, Reconfigurable computing, Image segmentation, Remote sensing, Feature extraction

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Proceedings Article | 15 November 2000 Paper

Parallel evolution of image processing tools for multispectral imagery

Neal Harvey, Steven Brumby, Simon Perkins, Reid Porter, James Theiler, Aaron Young, John Szymanski, Jeffrey Bloch

Proceedings Volume 4132, (2000) https://doi.org/10.1117/12.406611

KEYWORDS: Image processing, Binary data, Clocks, Multispectral imaging, Feature extraction, Computer architecture, Time metrology, Landsat, Genetic algorithms, Earth observing sensors

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Proceedings Article | 13 October 2000 Paper

GENIE: a hybrid genetic algorithm for feature classification in multispectral images

Simon Perkins, James Theiler, Steven Brumby, Neal Harvey, Reid Porter, John Szymanski, Jeffrey Bloch

Proceedings Volume 4120, (2000) https://doi.org/10.1117/12.403635

KEYWORDS: Image processing, Image classification, Genetic algorithms, Roads, Earth observing sensors, High resolution satellite images, Machine learning, Algorithm development, Image resolution, Neural networks

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Proceedings Article | 6 October 2000 Paper

Effect of data truncation in an implementation of pixel clustering on a custom computing machine

Miriam Leeser, James Theiler, Michael Estlick, Natalya Kitaryeva, John Szymanski

Proceedings Volume 4212, (2000) https://doi.org/10.1117/12.402511

KEYWORDS: Data centers, Image segmentation, Field programmable gate arrays, Hyperspectral imaging, Image processing algorithms and systems, Image processing, Optimization (mathematics), Optical spheres, Multispectral imaging, Satellite imaging

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Proceedings Article | 6 October 2000 Paper

FPGA implementation of the pixel purity index algorithm

Dominique Lavenier, James Theiler, John Szymanski, Maya Gokhale, Janette Frigo

Proceedings Volume 4212, (2000) https://doi.org/10.1117/12.402525

KEYWORDS: Field programmable gate arrays, Computer aided design, Hyperspectral imaging, Image processing, Remote sensing, Parallel computing, Computer architecture, Clocks, Microsystems, Detection and tracking algorithms

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Proceedings Article | 23 August 2000 Paper

Genetic algorithm for combining new and existing image processing tools for multispectral imagery

Steven Brumby, Neal Harvey, Simon Perkins, Reid Porter, John Szymanski, James Theiler, Jeffrey Bloch

Proceedings Volume 4049, (2000) https://doi.org/10.1117/12.410371

KEYWORDS: Image processing, Multispectral imaging, Genetic algorithms, Ions, Vegetation, Binary data, Visible radiation, Remote sensing, Evolutionary algorithms, Feature extraction

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Proceedings Article | 17 December 1999 Paper

Subpixel temperature retrieval with multispectral sensors

John Szymanski, Christoph Borel, Quincy Harberger, Pawel Smolarkiewicz, James Theiler

Proceedings Volume 3868, (1999) https://doi.org/10.1117/12.373105

KEYWORDS: Sensors, Mid-IR, MODIS, Signal to noise ratio, Calibration, Temperature metrology, Error analysis, Thermography, Infrared sensors, Infrared radiation

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Proceedings Article | 2 November 1999 Paper

High-performance signal and image processing for remote sensing using reconfigurable computers

Michael Caffrey, John Szymanski, A. Begtrup, J. Layne, T. Nelson, S. Robinson, Alfonso Salazar, James Theiler

Proceedings Volume 3807, (1999) https://doi.org/10.1117/12.367629

KEYWORDS: Field programmable gate arrays, Digital signal processing, Sensors, Logic, Computing systems, Signal processing, Remote sensing, Image processing, Reconfigurable computing, Computer architecture

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Proceedings Article | 1 November 1999 Paper

Investigation of image feature extraction by a genetic algorithm

Steven Brumby, James Theiler, Simon Perkins, Neal Harvey, John Szymanski, Jeffrey Bloch, Melanie Mitchell

Proceedings Volume 3812, (1999) https://doi.org/10.1117/12.367697

KEYWORDS: Feature extraction, Genetic algorithms, Genetics, Remote sensing, Evolutionary algorithms, Image analysis, Computer programming, MODIS, Algorithm development, Image processing

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Proceedings Article | 27 October 1999 Paper

MTI core science retrieval algorithms

Christoph Borel, William Clodius, Anthony Davis, Barham Smith, John Szymanski, James Theiler, Pierre Villeneuve, Paul Weber

Proceedings Volume 3753, (1999) https://doi.org/10.1117/12.366302

KEYWORDS: Reflectivity, Clouds, Atmospheric corrections, Vegetation, Atmospheric modeling, Algorithm development, Near infrared, Atmospheric sciences, Computer simulations, Absorption

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Proceedings Article | 27 October 1999 Paper

MTI ground data processing and science retrieval pipeline architecture

John Szymanski, Christoph Borel, William Clodius, Anthony Davis, Christopher Heil, James Krone, Keri Ramsey, Barham Smith, Kathy Smith, James Theiler, Pierre Villeneuve, Paul Weber

Proceedings Volume 3753, (1999) https://doi.org/10.1117/12.366301

KEYWORDS: Calibration, Databases, Data processing, Image processing, Data modeling, Data acquisition, Algorithm development, Vegetation, Atmospheric modeling, Data storage

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Proceedings Article | 27 October 1999 Paper

Evolving retrieval algorithms with a genetic programming scheme

James Theiler, Neal Harvey, Steven Brumby, John Szymanski, Steve Alferink, Simon Perkins, Reid Porter, Jeffrey Bloch

Proceedings Volume 3753, (1999) https://doi.org/10.1117/12.366303

KEYWORDS: Algorithm development, Genetics, Computer programming, Vegetation, Genetic algorithms, Remote sensing, Image processing, Data modeling, Sensors, Atmospheric modeling

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Proceedings Article | 27 October 1999 Paper

Improved matched-filter detection techniques

Pierre Villeneuve, Herbert Fry, James Theiler, William Clodius, Barham Smith, Alan Stocker

Proceedings Volume 3753, (1999) https://doi.org/10.1117/12.366290

KEYWORDS: Data modeling, Electronic filtering, Target detection, Signal detection, Optical filters, Image filtering, Solids, Detection and tracking algorithms, Hyperspectral target detection, Sensors

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Proceedings Article | 22 October 1999 Paper

ALEXIS: the six-year telescope flight experience

Diane Roussel-Dupre, Jeffrey Bloch, Elsa Johnson, James Theiler

Proceedings Volume 3765, (1999) https://doi.org/10.1117/12.366514

KEYWORDS: Telescopes, Sensors, Mirrors, Satellites, Space telescopes, Calibration, Extreme ultraviolet, Microchannel plates, Reflectivity, Coating

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Proceedings Article | 16 July 1999 Paper

Subpixel temperature retrieval with multispectral sensors

John Szymanski, Christoph Borel, Quincy Harberger, Pawel Smolarkiewicz, James Theiler

Proceedings Volume 3717, (1999) https://doi.org/10.1117/12.353041

KEYWORDS: Sensors, MODIS, Signal to noise ratio, Mid-IR, Calibration, Temperature metrology, Error analysis, Thermography, Infrared radiation, Long wavelength infrared

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Proceedings Article | 16 July 1999 Paper

Comparing robust and physics-based sea surface temperature retrievals for high-resolution multispectral thermal sensors using one or multiple looks

Christoph Borel, William Clodius, John Szymanski, James Theiler

Proceedings Volume 3717, (1999) https://doi.org/10.1117/12.353043

KEYWORDS: Atmospheric physics, Tantalum, Atmospheric particles, Temperature metrology, Thermography, Clouds, Atmospheric modeling, Aerosols, Sensors

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Proceedings Article | 31 October 1997 Paper

Intensity masking to get high-resolution images from low-quality apertures

James Theiler, William Priedhorsky

Proceedings Volume 3170, (1997) https://doi.org/10.1117/12.279712

KEYWORDS: Space telescopes, Telescopes, Image resolution, Binary data, Monochromators, Optical filters, Phase shifts, Opacity, Optical components

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Proceedings Article | 29 October 1997 Paper

Algorithms using interband cross correlation for pixel registration and jitter reconstruction in multichannel push broom imagers

James Theiler, Bradley Henderson, Barham Smith

Proceedings Volume 3163, (1997) https://doi.org/10.1117/12.279531

KEYWORDS: Image registration, Imaging systems, Reconstruction algorithms, Sensors, Image sensors, Chemical elements, Image fusion, Image processing, Detection and tracking algorithms, Image acquisition

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Proceedings Article | 24 October 1997 Paper

Contiguity-enhanced k-means clustering algorithm for unsupervised multispectral image segmentation

James Theiler, Galen Gisler

Proceedings Volume 3159, (1997) https://doi.org/10.1117/12.279444

KEYWORDS: Image segmentation, Image processing algorithms and systems, Image compression, Multispectral imaging, Landsat, Algorithm development, Data compression, Remote sensing, Data storage, Earth observing sensors

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Proceedings Article | 23 October 1997 Paper

Geometrical constraint on shadowing in rough surfaces

James Theiler, Bradley Henderson

Proceedings Volume 3122, (1997) https://doi.org/10.1117/12.292698

KEYWORDS: Reflection, Surface roughness, Infrared radiation, Multiple scattering, Radiation effects, Statistical modeling, Capillaries, Polarization, Water, Refraction

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Proceedings Article | 10 June 1996 Paper

End-to-end performance modeling of passive remote sensing systems

Barham Smith, Christoph Borel, William Clodius, James Theiler, Bryan Laubscher, Paul Weber

Proceedings Volume 2743, (1996) https://doi.org/10.1117/12.241972

KEYWORDS: Data modeling, Atmospheric modeling, Systems modeling, Sensors, Sensing systems, Device simulation, Passive remote sensing, Atmospheric sensing, Algorithm development, Multispectral imaging

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Proceedings Article | 31 May 1996 Paper

Image-quality degradation and retrieval errors introduced by registration and interpolation of multispectral digital images

Bradley Henderson, Christoph Borel, James Theiler, Barham Smith

Proceedings Volume 2759, (1996) https://doi.org/10.1117/12.241172

KEYWORDS: Image registration, Modulation transfer functions, Multispectral imaging, Convolution, Image retrieval, Sensors, Image quality, Computer simulations, Scanners, Space operations

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Showing 5 of 91 publications

Conference Committee Involvement (15)

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXXI

15 April 2025 | Orlando, Florida, United States

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXX

23 April 2024 | National Harbor, Maryland, United States

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXIX

2 May 2023 | Orlando, Florida, United States

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII

5 April 2022 | Orlando, Florida, United States

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVII

12 April 2021 | Online Only, Florida, United States

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVI

27 April 2020 | Online Only, California, United States

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV

16 April 2019 | Baltimore, MD, United States

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV

16 April 2018 | Orlando, FL, United States

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII

11 April 2017 | Anaheim, CA, United States

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII

18 April 2016 | Baltimore, MD, United States

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI

21 April 2015 | Baltimore, MD, United States

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX

5 May 2014 | Baltimore, MD, United States

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX

29 April 2013 | Baltimore, Maryland, United States

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII

23 April 2012 | Baltimore, Maryland, United States

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII

25 April 2011 | Orlando, Florida, United States

Showing 5 of 15 Conference Committees

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