Mr. Chung D. Phan Profile

Chung D. Phan

at US Army CCDC C5ISR Ctr Night Vision & Electronic Sensors Directorate

SPIE Involvement:

Author

Publications (10)

Proceedings Article | 14 May 2015 Paper

Near real-time, on-the-move multisensor integration and computing framework

Chris Burnette, Matt Schneider, Sanjeev Agarwal, Diane Deterline, Chris Geyer, Chung Phan, Richard Lydic, Kevin Green, Bruce Swett

Proceedings Volume 9454, 94540N (2015) https://doi.org/10.1117/12.2177760

KEYWORDS: Sensors, Video, Global Positioning System, Video processing, Cameras, Telecommunications, Data acquisition, Receivers, Binary data, Data communications

Read Abstract +

Proceedings Article | 14 May 2015 Paper

Near real-time, on-the-move software PED using VPEF

Kevin Green, Chris Geyer, Chris Burnette, Sanjeev Agarwal, Bruce Swett, Chung Phan, Diane Deterline

Proceedings Volume 9454, 94540O (2015) https://doi.org/10.1117/12.2177750

KEYWORDS: Video, Sensors, Algorithm development, Video processing, Computer vision technology, Machine vision, Detection and tracking algorithms, Databases, Data processing, Human-machine interfaces

Read Abstract +

Proceedings Article | 14 May 2015 Paper

Real-time buried threat detection and cueing capability in VPEF environment

Bo Ling, Sanjeev Agarwal, Santiago Olivera, Zlatko Vasilkoski, Chung Phan, Chris Geyer

Proceedings Volume 9454, 94540P (2015) https://doi.org/10.1117/12.2177743

KEYWORDS: Target detection, Environmental sensing, Statistical analysis, Video, Data processing, Detection and tracking algorithms, Cameras, Infrared imaging, Algorithm development, Detector development

Read Abstract +

Proceedings Article | 11 May 2012 Paper

Rain effects on physical soil temperatures with buried targets

Zenon Derzko, Oanh Nguyen, Chung Phan, Richard Lydic, J. Thomas Broach

Proceedings Volume 8357, 83570M (2012) https://doi.org/10.1117/12.918485

KEYWORDS: Meteorology, Soil science, Clouds, Infrared radiation, Water, Liquids, Solar radiation, 3D acquisition, 3D modeling, Finite element methods

Read Abstract +

Proceedings Article | 11 May 2012 Paper

Cloud cover effects on physical soil temperatures with buried targets

Zenon Derzko, Oanh Nguyen, Chung Phan, Richard Lydic, J. Thomas Broach, Timothy Moore

Proceedings Volume 8357, 83570L (2012) https://doi.org/10.1117/12.918468

KEYWORDS: Clouds, Meteorology, Soil science, Solar radiation, Infrared radiation, Detection and tracking algorithms, 3D acquisition, 3D modeling, Finite element methods, Solar radiation models

Read Abstract +

Proceedings Article | 29 April 2008 Paper

Comparative performance between compressed and uncompressed airborne imagery

Chung Phan, Ronald Rupp, Sanjeev Agarwal, Anh Trang, Sumesh Nair

Proceedings Volume 6953, 69530U (2008) https://doi.org/10.1117/12.782360

KEYWORDS: Image compression, Land mines, Detection and tracking algorithms, Algorithms, Target detection, Mining, Data compression, Sensors, Image quality, Unmanned aerial vehicles

Read Abstract +

Proceedings Article | 26 April 2007 Paper

Multi-classifier buried mine detection using MWIR images

Bo Ling, Anh Trang, Chung Phan

Proceedings Volume 6553, 655310 (2007) https://doi.org/10.1117/12.720857

KEYWORDS: Mining, Mid-IR, Land mines, Image fusion, Target detection, Image processing, Feature extraction, Sensors, Wavelets, Infrared signatures

Read Abstract +

Proceedings Article | 16 May 2006 Paper

Surface and buried mine detection using MWIR images

Bo Ling, Sushanth Dabbiru, Anh Trang, Chung Phan

Proceedings Volume 6217, 62170F (2006) https://doi.org/10.1117/12.665730

KEYWORDS: Mining, Land mines, Mid-IR, Wavelets, Sensors, Detection and tracking algorithms, Image processing, Metals, Image processing algorithms and systems, Discrete wavelet transforms

Read Abstract +

Proceedings Article | 10 June 2005 Paper

Feature correspondence and semi-automatic ground truthing for airborne data collection

Spandan Tiwari, Sanjeev Agarwal, Chung Phan, Todd Acinelli

Proceedings Volume 5794, (2005) https://doi.org/10.1117/12.604792

KEYWORDS: Land mines, Sensors, Mining, Binary data, Image registration, Tolerancing, Target detection, Detection and tracking algorithms, Global Positioning System, Cameras

Read Abstract +

A significant amount of airborne data has been collected in the past and more is expected to be collected in the future to support airborne landmine detection research and evaluation under various programs. In order to evaluate mine and minefield detection performance for sensor and detection algorithms, it is essential to generate reliable and accurate ground truth for the location of the mine targets and fiducials present in raw imagery. The current ground truthing operation is primarily manual, which makes the ground truthing a time consuming and expensive exercise in the overall data collection effort. In this paper, a semi-automatic ground-truthing technique is presented which reduces the role of the operator to a few high-level input and validation actions. A correspondence is established between the high-contrast targets in the airborne imagery called the image features, and the known GPS locations of the targets on the ground called the map features by imposing various position and geometric constraints. These image and map features may include individual fiducial targets, rows of fiducial targets and triplets of non-collinear fiducials. The targets in the imagery are established using the RX anomaly detector. An affine or linear conformal transformation from map features to image features is calculated based on feature correspondence. This map-to-image transformation is used to generate ground-truth for mine targets. Since accurate and reliable flight-log data is currently not available, one-time specification of a few parameters like flight speed, flight direction, camera resolution and specification of the location of the initial frame on the map is required from the operator. These parameters are updated and corrected for subsequent frames based on the processing of previous frames. Image registration is used to ground-truth images which do not have enough high-contrast fiducials for reliable correspondence. A GUI called SemiAutoGT developed in MATLAB for the ground truthing process is briefly discussed. Results are presented for ground-truthing of the data collected under the Lightweight Airborne Multispectral Minefield Detection (LAMD) program.

Proceedings Article | 10 June 2005 Paper

Semi-automated based ground-truthing GUI for airborne imagery

Chung Phan, Rich Lydic, Tim Moore, Anh Trang, Sanjeev Agarwal, Spandan Tiwari

Proceedings Volume 5794, (2005) https://doi.org/10.1117/12.605208

KEYWORDS: Image processing, Target detection, Airborne remote sensing, Algorithm development, Detection and tracking algorithms, Sensors, Land mines, Mining, MATLAB, Human-machine interfaces

Read Abstract +

Showing 5 of 10 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years