Dr. Francesca Bovolo Profile

Dr. Francesca Bovolo

at Fondazione Bruno Kessler

SPIE Involvement:

Conference Chair | Editorial Board Member: Journal of Applied Remote Sensing | Author | Editor

Publications (40)

SPIE Journal Paper | 12 December 2024 Open Access

Special Section Guest Editorial: Advanced Spectral Analysis Techniques and Remote Sensing Applications

Sicong Liu, Francesca Bovolo, Claudio Persello, Danfeng Hong, Alim Samat

JARS, Vol. 18, Issue 04, 042601, (December 2024) https://doi.org/10.1117/12.10.1117/1.JRS.18.042601

KEYWORDS: Remote sensing, Hyperspectral imaging, Statistical analysis, Machine learning, Autoregressive models, Artificial intelligence, Water content, Super resolution, Soil science, Performance modeling

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Proceedings Article | 20 November 2024 Poster + Paper

Instantaneous infrastructure monitoring by Earth observation: SAR-based railway obstacle detection

Massimo Zanetti, Stephan Palm, Francesca Bovolo

Proceedings Volume 13196, 131960Z (2024) https://doi.org/10.1117/12.3031582

KEYWORDS: Synthetic aperture radar, Sensors, Image processing, Satellites, Reflection, Environmental monitoring, Detection and tracking algorithms, Data acquisition, Data processing, Backscatter

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Proceedings Article | 20 November 2024 Presentation + Paper

Attention-based 3D convolutional neural network for crop boundary detection in high-resolution satellite image time series

Khatereh Meshkini, Francesca Bovolo, Daniel Doktor

Proceedings Volume 13196, 131960E (2024) https://doi.org/10.1117/12.3035893

KEYWORDS: 3D modeling, Image segmentation, Agriculture, Machine learning, Data modeling, Feature extraction, Object detection, Deep learning, Convolution

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Proceedings Article | 20 November 2024 Paper

A preliminary study on the multitemporal analysis of cryosphere radar sounder data

Elena Donini, Miguel Hoyo García, Francesca Bovolo

Proceedings Volume 13196, 131960T (2024) https://doi.org/10.1117/12.3030674

KEYWORDS: Ice, Remote sensing, Radar, Synthetic aperture radar, Geology

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Proceedings Article | 20 November 2024 Presentation + Paper

Unsupervised sparse convolutional autoencoder for multi-class change detection in hyperspectral images

Luca Bergamasco, Francesca Bovolo

Proceedings Volume 13196, 131960K (2024) https://doi.org/10.1117/12.3030005

KEYWORDS: Data modeling, Hyperspectral imaging, Spatial learning, Tunable filters, Spectral resolution, Image processing, Agriculture

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Proceedings Article | 19 October 2023 Presentation + Paper

A convolutional neural network approach to the detection of LC transitions in multi-annual satellite image time series

Khatereh Meshkini, Francesca Bovolo, Lorenzo Bruzzone

Proceedings Volume 12733, 127330Q (2023) https://doi.org/10.1117/12.2683720

KEYWORDS: Land cover, Feature extraction, Satellites, Earth observing sensors, Satellite imaging, Deep learning, Convolutional neural networks, 3D modeling, Binary data, Vegetation, Distance measurement

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Proceedings Article | 19 October 2023 Presentation + Paper

A theoretical framework for unsupervised land cover change detection in dense satellite image time series

Indira Aprilia Listiani, Francesca Bovolo, Massimo Zanetti

Proceedings Volume 12733, 127330A (2023) https://doi.org/10.1117/12.2679728

KEYWORDS: Binary data, Satellites, Satellite imaging, Expectation maximization algorithms, Earth observing sensors, Land cover, Statistical analysis, Image processing, Time series analysis

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Proceedings Article | 28 October 2022 Presentation + Paper

Extreme gradient boosting machine learning for total suspended matter (TSM) retrieval from Sentinel-2 imagery

Milad Niroumand-Jadidi, Francesca Bovolo

Proceedings Volume 12263, 1226308 (2022) https://doi.org/10.1117/12.2638465

KEYWORDS: Machine learning, Water, Statistical modeling, Data modeling, Systems modeling, Image retrieval, Image processing, Error analysis, Atmospheric modeling, Atmospheric corrections

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Proceedings Article | 26 October 2022 Paper

Unsupervised change detection in multi-modal SAR images using CycleGAN

Luca Bergamasco, Francesca Bovolo

Proceedings Volume 12267, 122670F (2022) https://doi.org/10.1117/12.2637433

KEYWORDS: Synthetic aperture radar, Feature extraction, Buildings, Backscatter, Spatial resolution, Image processing, Feature selection, Multimodal imaging

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Proceedings Article | 26 October 2022 Paper

Unsupervised semantic segmentation of radar sounder data using contrastive learning

Elena Donini, Mattia Amico, Lorenzo Bruzzone, Francesca Bovolo

Proceedings Volume 12267, 122670N (2022) https://doi.org/10.1117/12.2636437

KEYWORDS: Computer programming, Associative arrays, Image segmentation, Radar, Remote sensing, Logic, Neural networks, Feature extraction, Feature selection, Information visualization

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Proceedings Article | 26 October 2022 Presentation + Paper

An FFT-based CNN-transformer encoder for semantic segmentation of radar sounder signal

Raktim Ghosh, Francesca Bovolo

Proceedings Volume 12267, 122670R (2022) https://doi.org/10.1117/12.2636693

KEYWORDS: Transformers, Computer programming, Remote sensing, Computer architecture, Target detection, Radar, Fourier transforms, Image segmentation, Convolution, Sensors

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Proceedings Article | 12 September 2021 Presentation

Welcome and Introduction to Conference 11862

Lorenzo Bruzzone, Francesca Bovolo

Proceedings Volume 11862, 1186202 (2021) https://doi.org/10.1117/12.2613765

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Proceedings Article | 12 September 2021 Presentation + Paper

Transfer learning for the semantic segmentation of cryoshpere radargrams

Miguel Hoyo García, Elena Donini, Francesca Bovolo

Proceedings Volume 11862, 118620T (2021) https://doi.org/10.1117/12.2600237

KEYWORDS: Image segmentation, Remote sensing, Radar, Free space, Multimedia, Interfaces, Convolution, Network architectures, Data acquisition

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Proceedings Article | 21 September 2020 Presentation + Paper

A novel deep learning data structure for multispectral remote sensing images

Luca Bergamasco, Francesca Bovolo, Lorenzo Bruzzone

Proceedings Volume 11533, 115330N (2020) https://doi.org/10.1117/12.2571643

KEYWORDS: Remote sensing, Multispectral imaging, Image classification, Data processing, Image processing, Convolutional neural networks, Image fusion, 3D modeling, Statistical modeling, Data modeling

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Proceedings Article | 20 September 2020 Presentation

Opening Remarks by Conference Chairs

Lorenzo Bruzzone, Francesca Bovolo

Proceedings Volume 11533, 1153302 (2020) https://doi.org/10.1117/12.2584136

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Proceedings Article | 20 September 2020 Presentation + Paper

A land cover-driven approach for fitting satellite image time series in a change detection context

Yady Tatiana Solano-Correa, Khatereh Meshkini, Francesca Bovolo, Lorenzo Bruzzone

Proceedings Volume 11533, 1153309 (2020) https://doi.org/10.1117/12.2573942

KEYWORDS: Satellites, Earth observing sensors, Remote sensing, Satellite imaging, Environmental sensing, Vegetation, Data modeling, Spatial resolution, Atmospheric optics, Data acquisition

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Proceedings Article | 20 September 2020 Presentation + Paper

Unsupervised change detection using hierarchical convolutional autoencoder

Luca Bergamasco, Francesca Bovolo, Lorenzo Bruzzone

Proceedings Volume 11533, 115330D (2020) https://doi.org/10.1117/12.2571313

KEYWORDS: Computer programming, Remote sensing, Data hiding, Denoising, Super resolution, Error analysis, Image processing, Earth observing sensors, Landsat

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Proceedings Article | 21 October 2019 Presentation + Paper

Comparison of ecosystem functional type patterns at different spatial resolutions in relation with FLUXNET data

L. Pesquer, C. Domingo-Marimon, J. Cristóbal, C. Ottlé, P. Peylin, F. Bovolo, L. Bruzzone

Proceedings Volume 11149, 1114908 (2019) https://doi.org/10.1117/12.2533049

KEYWORDS: Spatial resolution, Earth observing sensors, Vegetation, Landsat, Ecosystems, Remote sensing, Climatology, Databases, Satellites, Composites

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Proceedings Article | 7 October 2019 Presentation + Paper

Integration of hydro-climatological model and remote sensing for glacier mass balance estimation

Iwona Podsiadlo, Claudia Paris, Francesca Bovolo, Mattia Callegari, Ludovica De Gregorio, Daniel Günther, Carlo Marin, Thomas Marke, Milad Niroumand-Jadidi, Claudia Notarnicola, Ulrich Strasser, Marc Zebisch, Lorenzo Bruzzone

Proceedings Volume 11155, 1115513 (2019) https://doi.org/10.1117/12.2533232

KEYWORDS: Remote sensing, Data modeling, Numerical simulations, Multispectral imaging, Climatology, Meteorology, Statistical modeling, Statistical analysis

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Proceedings Article | 7 October 2019 Presentation + Paper

Unsupervised change-detection based on convolutional-autoencoder feature extraction

Luca Bergamasco, Sudipan Saha, Francesca Bovolo, Lorenzo Bruzzone

Proceedings Volume 11155, 1115510 (2019) https://doi.org/10.1117/12.2533812

KEYWORDS: Feature extraction, Detection and tracking algorithms, Neural networks, Sensors, Remote sensing, Visualization, Data analysis, Satellite imaging, Earth observing sensors, Satellites

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Proceedings Article | 7 October 2019 Presentation + Paper

Identification of non-photosynthetic vegetation areas in Sentinel-2 satellite image time series

Yady Tatiana Solano-Correa, Daniel Carcereri, Francesca Bovolo, Lorenzo Bruzzone

Proceedings Volume 11155, 111550Y (2019) https://doi.org/10.1117/12.2533761

KEYWORDS: Vegetation, Earth observing sensors, Remote sensing, MODIS, Satellite imaging, Satellites, Photovoltaics, Sensors, Spatial resolution, Landsat

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Proceedings Article | 7 October 2019 Presentation + Paper

An automatic approach to map refreezing ice in radar sounder data

Elena Donini, Sanchari Thakur, Francesca Bovolo, Lorenzo Bruzzone

Proceedings Volume 11155, 111551B (2019) https://doi.org/10.1117/12.2533169

KEYWORDS: Radar, Associative arrays, Process modeling, Data modeling, Reflection, Modeling, Data acquisition, Optical inspection, Visual process modeling, Dielectrics

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Proceedings Article | 9 October 2018 Presentation + Paper

Destroyed-buildings detection from VHR SAR images using deep features

Sudipan Saha, Francesca Bovolo, Lorenzo Bruzzone

Proceedings Volume 10789, 107890Z (2018) https://doi.org/10.1117/12.2325149

KEYWORDS: Machine learning, Convolutional neural networks, Machine vision, Buildings, Synthetic aperture radar, Feature extraction, Earthquakes, Image processing, Image segmentation, Remote sensing

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Proceedings Article | 9 October 2018 Presentation + Paper

A novel data-driven approach to tree species classification using high density multireturn airborne lidar data

A. Harikumar, C. Paris, F. Bovolo, L. Bruzzone

Proceedings Volume 10789, 107890E (2018) https://doi.org/10.1117/12.2325634

KEYWORDS: LIDAR, Feature extraction, Remote sensing

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Proceedings Article | 9 October 2018 Presentation + Paper

A novel approach for bathymetry of shallow rivers based on spectral magnitude and shape predictors using stepwise regression

Milad Niroumand-Jadidi, Francesca Bovolo, Alfonso Vitti, Lorenzo Bruzzone

Proceedings Volume 10789, 107890O (2018) https://doi.org/10.1117/12.2325560

KEYWORDS: Radiative transfer, Remote sensing, Data modeling, Ocean optics, Reflectivity, Statistical modeling, Near infrared, Water, Spatial resolution

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Proceedings Article | 4 October 2017 Paper

An approach to conifer stem localization and modeling in high density airborne LiDAR data

A. Harikumar, F. Bovolo, L. Bruzzone

Proceedings Volume 10427, 104270Q (2017) https://doi.org/10.1117/12.2279526

KEYWORDS: LIDAR, Data modeling, 3D modeling, Remote sensing

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SPIE Journal Paper | 26 April 2017

Automatic cloud-free image generation from high-resolution multitemporal imagery

Youkyung Han, Francesca Bovolo, Won Hee Lee

JARS, Vol. 11, Issue 02, 025005, (April 2017) https://doi.org/10.1117/12.10.1117/1.JRS.11.025005

KEYWORDS: Clouds, Image restoration, Target detection, Target acquisition, Spatial resolution, Image sensors, Earth observing sensors, Landsat, Image quality, Image fusion

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Proceedings Article | 18 October 2016 Presentation + Paper

A novel approach to internal crown characterization for coniferous tree species classification

A. Harikumar, F. Bovolo, L. Bruzzone

Proceedings Volume 10004, 100040H (2016) https://doi.org/10.1117/12.2241452

KEYWORDS: LIDAR, Remote sensing, Clouds, Laser scanners, Data acquisition, 3D modeling, Sensors, Data modeling, Electroluminescence, Surface plasmons

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Proceedings Article | 18 October 2016 Presentation + Paper

A novel framework for change detection in bi-temporal polarimetric SAR images

Davide Pirrone, Francesca Bovolo, Lorenzo Bruzzone

Proceedings Volume 10004, 100040Z (2016) https://doi.org/10.1117/12.2241636

KEYWORDS: Optical spheres, Synthetic aperture radar, Polarimetry, Sensors, Data acquisition, Expectation maximization algorithms, Statistical analysis, Binary data, Critical dimension metrology, Lawrencium

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Proceedings Article | 15 October 2015 Paper

Analysis of backscattering behaviors for partially damaged buildings in VHR SAR images

Davide Pirrone, Francesca Bovolo, Lorenzo Bruzzone

Proceedings Volume 9643, 96431D (2015) https://doi.org/10.1117/12.2195699

KEYWORDS: Buildings, Backscatter, Synthetic aperture radar, Scattering, Sensors, Commercial off the shelf technology, Neodymium, Satellites, Speckle, Ions

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Proceedings Article | 29 October 2014 Paper

Change detection in very high resolution multisensor images

Yady Solano Correa, Francesca Bovolo, Lorenzo Bruzzone

Proceedings Volume 9244, 924410 (2014) https://doi.org/10.1117/12.2068171

KEYWORDS: Sensors, Homogenization, Reflectivity, Spatial resolution, Image processing, Feature extraction, Vegetation, Image resolution, Near infrared, Satellites

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Proceedings Article | 8 November 2012 Paper

A novel approach to building change detection in very high resolution SAR images

Francesca Bovolo, Carlo Marin, Lorenzo Bruzzone

Proceedings Volume 8537, 85370Y (2012) https://doi.org/10.1117/12.974661

KEYWORDS: Backscatter, Synthetic aperture radar, Sensors, Image resolution, Lawrencium, Scattering, Earthquakes, Radar, Spatial resolution, Stationary wavelet transform

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Proceedings Article | 27 October 2011 Paper

A change-detection-driven approach to active transfer learning for classification of image time series

Begüm Demir, Francesca Bovolo, Lorenzo Bruzzone

Proceedings Volume 8180, 81800E (2011) https://doi.org/10.1117/12.898596

KEYWORDS: Remote sensing, Image processing, Image classification, Target detection, Target acquisition, Data acquisition, Multispectral imaging, Statistical analysis, Actinium, Image analysis

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Proceedings Article | 23 October 2010 Paper

An automatic approach to the unsupervised detection of multiple changes in multispectral images

F. Bovolo, S. Marchesi, L. Bruzzone

Proceedings Volume 7830, 78300T (2010) https://doi.org/10.1117/12.866032

KEYWORDS: Multispectral imaging, Expectation maximization algorithms, Actinium, Statistical analysis, Visualization, Landsat, Image registration, Remote sensing, Sensors, Earth observing sensors

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Proceedings Article | 23 October 2010 Paper

Study on the capabilities of morphological attribute profiles in change detection on VHR images

Nicola Falco, Mauro Dalla Mura, Francesca Bovolo, Jon Atli Benediktsson, Lorenzo Bruzzone

Proceedings Volume 7830, 783016 (2010) https://doi.org/10.1117/12.866178

KEYWORDS: Image filtering, Image resolution, Sensors, Image analysis, Earthquakes, Spatial resolution, Remote sensing, Filtering (signal processing), Data acquisition, Computer engineering

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Proceedings Article | 23 October 2010 Paper

A novel approach to land-cover maps updating in complex scenarios based on multitemporal remote sensing images

K. Bahirat, F. Bovolo, L. Bruzzone, S. Chaudhuri

Proceedings Volume 7830, 78300P (2010) https://doi.org/10.1117/12.866031

KEYWORDS: Image classification, Remote sensing, Statistical analysis, Distance measurement, Multispectral imaging, Expectation maximization algorithms, Image acquisition, Reliability, Machine learning, Actinium

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Proceedings Article | 10 October 2008 Paper

An approach to change detection in time series of SAR images based on multitemporal similarity measures

F. Bovolo, L. Bruzzone

Proceedings Volume 7109, 71090U (2008) https://doi.org/10.1117/12.801672

KEYWORDS: Synthetic aperture radar, Image segmentation, Picosecond phenomena, Image resolution, Data modeling, Statistical analysis, Sensors, Remote sensing, Satellites, Speckle

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Proceedings Article | 24 October 2007 Paper

An adaptive parcel-based technique robust to registration noise for change detection in multitemporal VHR images

Francesca Bovolo, Lorenzo Bruzzone, Silvia Marchesi

Proceedings Volume 6748, 674806 (2007) https://doi.org/10.1117/12.739223

KEYWORDS: Image registration, Image resolution, Radon, Statistical analysis, Sensors, Image segmentation, Spectral resolution, Image processing, Multispectral imaging, Remote sensing

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Proceedings Article | 24 October 2007 Paper

An unsupervised support vector method for change detection

F. Bovolo, G. Camps-Valls, L. Bruzzone

Proceedings Volume 6748, 674809 (2007) https://doi.org/10.1117/12.737764

KEYWORDS: Multispectral imaging, Remote sensing, Optical spheres, Error analysis, Target detection, Data acquisition, Expectation maximization algorithms, Earth observing sensors, Sensors, Landsat

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Proceedings Article | 29 September 2006 Paper

A split-based approach to unsupervised change detection in large-size SAR images

Francesca Bovolo, Lorenzo Bruzzone

Proceedings Volume 6365, 63650I (2006) https://doi.org/10.1117/12.690710

KEYWORDS: Lawrencium, Synthetic aperture radar, Remote sensing, Backscatter, Speckle, Image filtering, Image analysis, Statistical analysis, Algorithm development, Sensors

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Showing 5 of 40 publications

Proceedings Volume Editor (11)

SPIE Conference Volume | 4 December 2024

Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX

SPIE Conference Volume | 27 November 2023

Image and Signal Processing for Remote Sensing XXIX

SPIE Conference Volume | 4 November 2022

Image and Signal Processing for Remote Sensing XXVIII

SPIE Conference Volume | 6 October 2021

Image and Signal Processing for Remote Sensing XXVII

SPIE Conference Volume | 9 October 2020

Image and Signal Processing for Remote Sensing XXVI

Showing 5 of 11 publications

Conference Committee Involvement (20)

Artificial Intelligence and Image and Signal Processing for Remote Sensing XXXI

15 September 2025 | Madrid, Spain

Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX

16 September 2024 | Edinburgh, United Kingdom

Image and Signal Processing for Remote Sensing XXIX

4 September 2023 | Amsterdam, Netherlands

Image and Signal Processing for Remote Sensing XXVIII

5 September 2022 | Berlin, Germany

Image and Signal Processing for Remote Sensing XXVII

13 September 2021 | Online Only, Spain

Image and Signal Processing for Remote Sensing XXVI

21 September 2020 | Online Only, United Kingdom

Image and Signal Processing for Remote Sensing XXV

9 September 2019 | Strasbourg, France