G. Moser

发表

Conditional Copulas for Change Detection in Heterogeneous Remote Sensing Images

Gabriele Moser, Sebastiano B. Serpico, Grégoire Mercier, 2008, IEEE Transactions on Geoscience and Remote Sensing.

New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learning

J. Benediktsson, Shutao Li, Yushi Chen, 2018, IEEE Geoscience and Remote Sensing Magazine.

Modeling the Statistics of High Resolution Sar Images Modeling the Statistics of High Resolution Sar Images Modélisation Des Statistiques Des Images Radar (rso) Haute Résolution

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2022 .

Unsupervised Change Detection from Multichannel SAR Data by Markov Random Fields

G. Moser, S. Serpico, 2008 .

Probability Density Function Estimation for Classification of High Resolution SAR Images

J. Zerubia, V. Krylov, G. Moser, 2012 .

Probability Density Function Estimation for Classification of High Resolution SAR Images

J. Zerubia, V. Krylov, G. Moser, 2012 .

Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest

Nikos Paragios, Gabriele Moser, Lichao Mou, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Multichannel SAR Image Classification by Finite Mixtures, Copula Theory and Markov Random Fields

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2011 .

MULTISCALE UNSUPERVISED CHANGE DETECTION ON OPTICAL IMAGES BASED ON MARKOV RANDOM FIELDS AND WAVELETS

G. Moser, S. Serpico, E. Angiati, 2009 .

Riparian vegetation mapping for hydraulic roughness estimation using very high resolution remote sensing data fusion.

E. Vivoni, F. Castelli, G. Forzieri, 2010 .

Joint classification of panchromatic and multispectral images by multiresolution fusion through Markov random fields and graph cuts

Gabriele Moser, Sebastiano B. Serpico, G. Moser, 2011, 2011 17th International Conference on Digital Signal Processing (DSP).

Study of information content of SAR images

M. Datcu, D. Cerra, G. Moser, 2008, 2008 IEEE Radar Conference.

CONTEXTUAL CLASSIFICATION OF HYPERSPECTRAL IMAGES BY SUPPORT VECTOR MACHINES AND MARKOV RANDOM FIELDS

G. Moser, S. Serpico, M. D. Martino, 2010 .

FLOODING AND CHANGE MAPS FROM COSMO-SKYMED IMAGES

G. Moser, S. Serpico, S. Dellepiane, 2010 .

Multiscale classification of very high resolution SAR images of urban areas by Markov random fields, copula functions, and texture extraction

J. Zerubia, V. Krylov, G. Moser, 2012 .

Registration of Multisensor Images through a Conditional Generative Adversarial Network and a Correlation-Type Similarity Measure

G. Moser, S. Serpico, Luca Maggiolo, 2022, Remote Sensing.

Semantic Segmentation of SAR Images Through Fully Convolutional Networks and Hierarchical Probabilistic Graphical Models

J. Zerubia, G. Moser, S. Serpico, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

A Tiling-Based Strategy for Large-Scale Multisensor Optical-Sar Image Registration

G. Moser, S. Serpico, Luca Maggiolo, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

Semantic Segmentation of Remote Sensing Images Combining Hierarchical Probabilistic Graphical Models and Deep Convolutional Neural Networks

J. Zerubia, G. Moser, S. Serpico, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

A goal-driven unsupervised image segmentation method combining graph-based processing and Markov random fields

G. Moser, S. Dellepiane, David Solarna, 2022, Pattern Recognit..

A CNN-Transformer Knowledge Distillation for Remote Sensing Scene Classification

G. Moser, S. Serpico, Luca Maggiolo, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

2014 IEEE GRSS Data Fusion Contest: Multiresolution Fusion of Thermal Hyperspectral and VIS Data [Technical Committees]

Gabriele Moser, Michal Shimoni, Devis Tuia, 2014 .

On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2013, IEEE Transactions on Image Processing.

Contextual multi-scale image classification on quadtree

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Frontiers in Spectral-Spatial Classification of Hyperspectral Images

Jon Atli Benediktsson, Gabriele Moser, Sebastiano B. Serpico, 2018 .

Mathematical Models and Methods for Remote Sensing Image Analysis: An Introduction

Jon Atli Benediktsson, Gabriele Moser, Sebastiano B. Serpico, 2018 .

Polarimetric SAR Change Detection With the Complex Hotelling–Lawley Trace Statistic

Gabriele Moser, Sebastiano B. Serpico, Torbjørn Eltoft, 2016, IEEE Transactions on Geoscience and Remote Sensing.

The URBIS project: Vacant urban area classification and detection of changes

Gabriele Moser, Sebastiano B. Serpico, Vladimir A. Krylov, 2015, 2015 Joint Urban Remote Sensing Event (JURSE).

SAR amplitude probability density function estimation based on a generalized Gaussian model

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2006, IEEE Transactions on Image Processing.

Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images pdf

Gabriele Moser, Michael Kampffmeyer, Robert Jenssen, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Multiscale Unsupervised Change Detection on Optical Images by Markov Random Fields and Wavelets

Gabriele Moser, Sebastiano B. Serpico, Elena Angiati, 2011, IEEE Geoscience and Remote Sensing Letters.

Unsupervised Image Regression for Heterogeneous Change Detection

G. Moser, S. Anfinsen, F. Bianchi, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection pdf

Gabriele Moser, Michael Kampffmeyer, Robert Jenssen, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Land Surface Temperature Estimation from Passive Satellite Images using Support Vector Machines

Gabriele Moser, Sebastiano B. Serpico, Maciel Zortea, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

A Classification Approach for Model-Based Fault Diagnosis in Power Generation Systems Based on Solid Oxide Fuel Cells

Gabriele Moser, Andrea Trucco, Loredana Magistri, 2016, IEEE Transactions on Energy Conversion.

Monitoring the Recovery after 2016 Hurricane Matthew in Haiti via Markovian Multitemporal Region-Based Modeling

Gabriele Moser, Sebastiano B. Serpico, Giorgio Boni, 2021, Remote. Sens..

A Markovian Approach to Unsupervised Change Detection with Multiresolution and Multimodality SAR Data

Gabriele Moser, Sebastiano B. Serpico, David Solarna, 2018, Remote. Sens..

Multiresolution Supervised Classification of Panchromatic and Multispectral Images by Markov Random Fields and Graph Cuts

Gabriele Moser, Sebastiano B. Serpico, Andrea De Giorgi, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Contextual remote-sensing image classification through support vector machines, Markov random fields and graph cuts

Gabriele Moser, Sebastiano B. Serpico, Andrea De Giorgi, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Combining Support Vector Machines and Markov Random Fields in an Integrated Framework for Contextual Image Classification

Gabriele Moser, Sebastiano B. Serpico, G. Moser, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Land-Cover Mapping by Markov Modeling of Spatial–Contextual Information in Very-High-Resolution Remote Sensing Images

Jon Atli Benediktsson, Gabriele Moser, Sebastiano B. Serpico, 2013, Proceedings of the IEEE.

Markov random field models for supervised land cover classification from very high resolution multispectral remote sensing images

Jon Atli Benediktsson, Gabriele Moser, Sebastiano B. Serpico, 2012, 2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing (TyWRRS).

Multimodal Classification of Remote Sensing Images: A Review and Future Directions

Gabriele Moser, Luis Gómez-Chova, Gustau Camps-Valls, 2015, Proceedings of the IEEE.

Data-driven techniques for fault diagnosis in power generation plants based on solid oxide fuel cells

Gabriele Moser, Sebastiano B. Serpico, Andrea Trucco, 2019, Energy Conversion and Management.

Fault Diagnosis Strategies for SOFC-Based Power Generation Plants

Gabriele Moser, Andrea Trucco, Loredana Magistri, 2016, Sensors.

Partially Supervised classification of remote sensing images through SVM-based probability density estimation

Gabriele Moser, Sebastiano B. Serpico, Paolo Mantero, 2005, IEEE Transactions on Geoscience and Remote Sensing.

Unsupervised Change Detection in Multitemporal Images of the Human Retina

Jon Atli Benediktsson, Gabriele Moser, Sebastiano B. Serpico, 2011 .

Automatic Feature Extraction from Planetary Images

Jon Atli Benediktsson, Gabriele Moser, Sebastiano B. Serpico, 2010 .

Automatic Extraction of Planetary Image Features

G. Troglio, J. A. Benediktsson, G. Moser, 2009, 2009 Third IEEE International Conference on Space Mission Challenges for Information Technology.

Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest

Naoto Yokoya, Gabriele Moser, Pedram Ghamisi, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A New Cascade Model for the Hierarchical Joint Classification of Multitemporal and Multiresolution Remote Sensing Data

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Monitoring of green, open and sealed urban space

Gabriele Moser, Sebastiano B. Serpico, Vladimir A. Krylov, 2017, 2017 Joint Urban Remote Sensing Event (JURSE).

Automatic registration of retina images based on genetic techniques

G. Troglio, G. Moser, J.A. Benediktsson, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

MRF-Based Remote-Sensing Image Classification with Automatic Model Parameter Estimation

Gabriele Moser, Sebastiano B. Serpico, G. Moser, 2006 .

Remote Sensing Data Fusion: Markov Models and Mathematical Morphology for Multisensor, Multiresolution, and Multiscale Image Classification

Jon Atli Benediktsson, Gabriele Moser, Sebastiano B. Serpico, 2018 .

Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest

Aleksandra Pizurica, Hui Liu, Gabriele Moser, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest–Part A: 2-D Contest

Alexandre Boulch, Gabriele Moser, Carlo Gatta, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

New cascade model for hierarchical joint classification of multisensor and multiresolution remote sensing data

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Article in Press G Model International Journal of Applied Earth Observation and Geoinformation Mapping Natural and Urban Environments Using Airborne Multi-sensor Ads40–mivis–lidar Synergies

Gabriele Moser, Filippo Catani, Giovanni Forzieri, 2022 .

Extracting information from remote sensing data for applications to flood monitoring and damage evaluation

Gabriele Moser, Sebastiano B. Serpico, Silvana G. Dellepiane, 2012, 2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing (TyWRRS).

Assessment of hyperspectral MIVIS sensor capability for heterogeneous landscape classification

Gabriele Moser, Filippo Catani, Giovanni Forzieri, 2012 .

Information Extraction From Remote Sensing Images for Flood Monitoring and Damage Evaluation

Gabriele Moser, Sebastiano B. Serpico, Silvana G. Dellepiane, 2012, Proceedings of the IEEE.

A Markovian generalization of support vector machines for contextual supervised classification of hyperspectral images

Gabriele Moser, Sebastiano B. Serpico, G. Moser, 2010, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

A Contextual Multiscale Unsupervised Method for Change Detection with Multitemporal Remote-Sensing Images

Gabriele Moser, Sebastiano B. Serpico, Elena Angiati, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

CONTEXTUAL CLASSIFICATION OF MULTISENSOR OPTICAL-SAR REMOTE SENSING IMAGES

Gabriele Moser, Sebastiano B. Serpico, Giuseppe Scarpa, 2009 .

Dictionary-based probability density function estimation for high-resolution SAR data

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2009, Electronic Imaging.

Modelling the Error Statistics in Support Vector Regression of Surface Temperature from Infrared Data

Gabriele Moser, Sebastiano B. Serpico, G. Moser, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Region-Based Classification of Multisensor Optical-SAR Images

Gabriele Moser, Sebastiano B. Serpico, Giuseppe Scarpa, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Extraction of Spectral Channels From Hyperspectral Images for Classification Purposes

Gabriele Moser, Sebastiano B. Serpico, G. Moser, 2007, IEEE Transactions on Geoscience and Remote Sensing.

Weight Parameter Optimization by the Ho–Kashyap Algorithm in MRF Models for Supervised Image Classification

Gabriele Moser, Sebastiano B. Serpico, G. Moser, 2006, IEEE Transactions on Geoscience and Remote Sensing.

Dictionary-based stochastic expectation-maximization for SAR amplitude probability density function estimation

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2006, IEEE Transactions on Geoscience and Remote Sensing.

Design of spectral channels for hyperspectral image classification

Gabriele Moser, Sebastiano B. Serpico, Massimo D'Incàa, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

Automatic partially supervised classification of multitemporal remotely sensed images

Gabriele Moser, Sebastiano B. Serpico, Michaela De Martino, 2004, SPIE Remote Sensing.

Partially supervised classification of remote sensing images using SVM-based probability density estimation

Sebastiano B. Serpico, G. Moser, P. Mantero, 2003, IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003.

Partially supervised contextual classification of multitemporal remotely sensed images

G. Moser, S.B. Serpico, M. De Martino, 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

Comparison of feature reduction techniques for classification of hyperspectral remote sensing data

Gabriele Moser, Sebastiano B. Serpico, Farid Melgani, 2003, SPIE Remote Sensing.

Automatic Extraction of Ellipsoidal Features for Planetary Image Registration

Jon Atli Benediktsson, Gabriele Moser, Sebastiano B. Serpico, 2012, IEEE Geoscience and Remote Sensing Letters.

Enhanced Dictionary-Based SAR Amplitude Distribution Estimation and Its Validation With Very High-Resolution Data

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2011, IEEE Geoscience and Remote Sensing Letters.

A Semisupervised CRF Model for CNN-Based Semantic Segmentation With Sparse Ground Truth

Gabriele Moser, Sebastiano B. Serpico, Devis Tuia, 2021, IEEE Transactions on Geoscience and Remote Sensing.

2017 IEEE GRSS Data Fusion Contest: Open Data for Global Multimodal Land Use Classification [Technical Committees]

Gabriele Moser, Linda See, Bertrand Le Saux, 2017 .

Land use modeling in North Rhine-Westphalia with interaction and scaling laws

Gabriele Moser, Hannes Taubenböck, Michael Wurm, 2017, 2017 Joint Urban Remote Sensing Event (JURSE).

Semantic Segmentation of Remote-Sensing Images Through Fully Convolutional Neural Networks and Hierarchical Probabilistic Graphical Models

J. Zerubia, G. Moser, S. Serpico, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Estimation of Air Surface Temperature From Remote Sensing Images and Pixelwise Modeling of the Estimation Uncertainty Through Support Vector Machines

Gabriele Moser, Sebastiano B. Serpico, Michaela De Martino, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

The SEAGOSS project: Monitoring coastal seawater in Italy by remote sensing data

Gabriele Moser, Sebastiano B. Serpico, Silvana G. Dellepiane, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery

Gabriele Moser, Sebastiano B. Serpico, G. Moser, 2005, IEEE Transactions on Geoscience and Remote Sensing.

Unsupervised change detection by multichannel SAR data fusion

Gabriele Moser, Sebastiano B. Serpico, G. Moser, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Unsupervised Change Detection From Multichannel SAR Data by Markovian Data Fusion

Gabriele Moser, Sebastiano B. Serpico, G. Moser, 2009, IEEE Transactions on Geoscience and Remote Sensing.

Classification of urban structural types with multisource data and structured models

Gabriele Moser, Hannes Taubenböck, Michael Wurm, 2015, 2015 Joint Urban Remote Sensing Event (JURSE).

An active learning heuristic using spectral and spatial information for MRF-based classification

Bo Hu, Peijun Li, Gabriele Moser, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Unsupervised change-detection methods for remote-sensing images

Gabriele Moser, Sebastiano B. Serpico, Farid Melgani, 2002 .

2016 IEEE GRSS Data Fusion Contest: Very high temporal resolution from space Technical Committees

Gabriele Moser, Bertrand Le Saux, Devis Tuia, 2016 .

Data-driven fault diagnosis in SOFC-based power plants under off-design operating conditions

Gabriele Moser, Andrea Trucco, Paola Costamagna, 2019, International Journal of Hydrogen Energy.

Parameter optimization for Markov random field models for remote sensing image classification through sequential minimal optimization

Gabriele Moser, Sebastiano B. Serpico, Andrea De Giorgi, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

False Discovery Rate Approach to Unsupervised Image Change Detection

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2016, IEEE Transactions on Image Processing.

False discovery rate approach to image change detection

J. Zerubia, V. Krylov, G. Moser, 2013, ICIP.

Feature reduction and supervised classification methodologies for hyperspectral image analysis

Gabriele Moser, Sebastiano B. Serpico, M. De Martino, 2004 .

Fully Convolutional and Feedforward Networks for The Semantic Segmentation of Remotely Sensed Images

J. Zerubia, G. Moser, S. Serpico, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

ADVANCES IN UNSUPERVISED CHANGE DETECTION

Gabriele Moser, Sebastiano B. Serpico, Farid Melgani, 2003 .

Unsupervised change detection with very high-resolution SAR images by multiscale analysis and Markov random fields

Gabriele Moser, Sebastiano B. Serpico, G. Moser, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Contextual remote-sensing image classification by support vector machines and Markov random fields

Gabriele Moser, Sebastiano B. Serpico, G. Moser, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Decision Fusion With Multiple Spatial Supports by Conditional Random Fields

Gabriele Moser, Michele Volpi, Devis Tuia, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Edge-preserving classification of high-resolution remote-sensing images by Markovian data fusion

Gabriele Moser, Sebastiano B. Serpico, G. Moser, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Automatic land and sea surface temperature estimation from remote sensing data

Gabriele Moser, Sebastiano B. Serpico, G. Moser, 2007, SPIE Remote Sensing.

Investigation of an ensemble framework for classification of hyperspectral remote sensing data with nearly equal spectral response classes

Gabriele Moser, Sebastiano B. Serpico, Maciel Zortea, 2007, SPIE Remote Sensing.

Multitemporal change detection by spectral and multivariate texture information

Peijun Li, Gabriele Moser, Sebastiano B. Serpico, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Mapping natural and urban environments using airborne multi-sensor ADS40-MIVIS-LiDAR synergies

G. Moser, L. Tanteri, Giovanni Forzieri, 2013, Int. J. Appl. Earth Obs. Geoinformation.

Processing of Extremely High Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest—Part B: 3-D Contest

Gabriele Moser, Dirk Tiede, Debra F. Laefer, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Unsupervised Change-Detection from Multi-Channel SAR Data

G. Moser, S.B. Serpico, G. Moser, 2006, Proceedings of the 7th Nordic Signal Processing Symposium - NORSIG 2006.

Classification of very high resolution SAR images of urban areas

J. Zerubia, V. Krylov, G. Moser, 2011 .

Crater Detection and Registration of Planetary Images Through Marked Point Processes, Multiscale Decomposition, and Region-Based Analysis

Gabriele Moser, Sebastiano B. Serpico, David Solarna, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Optical-SAR Decision Fusion with Markov Random Fields for High-Resolution Large-Scale Land Cover Mapping

G. Moser, S. Serpico, Luca Maggiolo, 2022, IEEE International Geoscience and Remote Sensing Symposium.

CCI Essential Climate Variables: High Resolution Land Cover

C. Ottlé, P. Gamba, L. Bruzzone, 2019 .

Classification of Very High Resolution SAR Images of Urban Areas Using Copulas and Texture in a Hierarchical Markov Random Field Model

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2013, IEEE Geoscience and Remote Sensing Letters.

A Clustering Approach to Heterogeneous Change Detection

Gabriele Moser, Sebastiano B. Serpico, Robert Jenssen, 2017, SCIA.

On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation

V. Krylov, G. Moser, S. Serpico, 2013, IEEE Transactions on Image Processing.

Learning CRF potentials through fully convolutional networks for satellite image semantic segmentation

J. Zerubia, G. Moser, S. Serpico, 2023, 2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).

Classification of Multimission SAR Images Based on Probabilistic Graphical Models and Convolutional Neural Networks

J. Zerubia, G. Moser, S. Serpico, 2023, IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium.