Supervised classification of remote sensing images with unknown classes. - Alicia Guerrero-Curieses; Alessandro Biasiotto; Sebastiano Bruno Serpico; Gabriele Moser (IGARSS, 2002)

Partially supervised detection of changes from remote sensing images. - Gabriele Moser; Farid Melgani; Sebastiano Bruno Serpico; Alessandro Caruso (IGARSS, 2002)

Partially supervised contextual classification of multitemporal remotely sensed images. - Michaela De Martino; Giorgia Macchiavello; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2003)

Finite mixture models and stochastic expectation-maximization for SAR amplitude probability density function estimation based on a dictionary of parametric families. - Gabriele Moser; Josiane Zerubia; Sebastiano B. Serpico (IGARSS, 2004)

Design of spectral channels for hyperspectral image classification. - Sebastiano B. Serpico; Massimo D'Inca; Gabriele Moser (IGARSS, 2004)

MRF model parameter estimation for contextual supervised classification of remote-sensing images. - Gabriele Moser; Sebastiano B. Serpico; Federico Causa (IGARSS, 2005)

Partially Supervised classification of remote sensing images through SVM-based probability density estimation. - Paolo Mantero; Gabriele Moser; Sebastiano B. Serpico (IEEE Trans. Geosci. Remote. Sens., 2005)

A Spatio-spectral Data Fusion Method for the Detection of Urban Areas in optical High Resolution Images by a Novel MRF Model. - Federico Causa; Gabriele Moser; Sebastiano Bruno Serpico (IGARSS, 2006)

Land Surface Temperature Estimation from Passive Satellite Images using Support Vector Machines. - Sebastiano B. Serpico; Michaela De Martino; Gabriele Moser; Maciel Zortea (IGARSS, 2006)

Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery. - Gabriele Moser; Sebastiano B. Serpico (IEEE Trans. Geosci. Remote. Sens., 2006)

Dictionary-based stochastic expectation-maximization for SAR amplitude probability density function estimation. - Gabriele Moser; Josiane Zerubia; Sebastiano B. Serpico (IEEE Trans. Geosci. Remote. Sens., 2006)

Weight Parameter Optimization by the Ho-Kashyap Algorithm in MRF Models for Supervised Image Classification. - Sebastiano B. Serpico; Gabriele Moser (IEEE Trans. Geosci. Remote. Sens., 2006)

SAR amplitude probability density function estimation based on a generalized Gaussian model. - Gabriele Moser; Josiane Zerubia; Sebastiano B. Serpico (IEEE Trans. Image Process., 2006)

Multitemporal change detection by spectral and multivariate texture information. - Peijun Li; Tao Cheng; Gabriele Moser; Sebastiano B. Serpico; Defeng Ma (IGARSS, 2007)

Conditional copula for change detection on heterogeneous SAR data. - Grégoire Mercier; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2007)

Unsupervised change detection by multichannel SAR data fusion. - Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2007)

Unsupervised Change Detection From Multichannel SAR Images. - Gabriele Moser; Sebastiano B. Serpico; Gianni Vernazza (IEEE Geosci. Remote. Sens. Lett., 2007)

Extraction of Spectral Channels From Hyperspectral Images for Classification Purposes. - Sebastiano B. Serpico; Gabriele Moser (IEEE Trans. Geosci. Remote. Sens., 2007)

Region-Based Classification of Multisensor Optical-SAR Images. - Raffaele Gaetano; Gabriele Moser; Giovanni Poggi; Giuseppe Scarpa; Sebastiano B. Serpico (IGARSS (4), 2008)

Modelling the Error Statistics in Support Vector Regression of Surface Temperature from Infrared Data. - Gabriele Moser; Sebastiano B. Serpico (IGARSS (3), 2008)

Classification of High-Resolution Images Based on MRF Fusion and Multiscale Segmentation. - Gabriele Moser; Sebastiano B. Serpico (IGARSS (2), 2008)

Conditional Copulas for Change Detection in Heterogeneous Remote Sensing Images. - Grégoire Mercier; Gabriele Moser; Sebastiano B. Serpico (IEEE Trans. Geosci. Remote. Sens., 2008)

Dictionary-based probability density function estimation for high-resolution SAR data. - Vladimir A. Krylov; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (Computational Imaging, 2009)

Automatic Unsupervised Classification of Snow-covered Areas by Decision-tree Classification and Minimum-error Thresholding. - Giorgia Macchiavello; Gabriele Moser; Giorgio Boni; Sebastiano B. Serpico (IGARSS (2), 2009)

Edge-preserving Classification of High-resolution Remote-sensing Images by Markovian Data Fusion. - Gabriele Moser; Sebastiano B. Serpico (IGARSS (4), 2009)

An A-contrario Approach for Unsupervised Change Detection in Radar Images. - Amandine Robin; Grégoire Mercier; Gabriele Moser; Sebastiano B. Serpico (IGARSS (4), 2009)

A Contextual Multiscale Unsupervised Method for Change Detection with Multitemporal Remote-Sensing Images. - Gabriele Moser; Elena Angiati; Sebastiano B. Serpico (ISDA, 2009)

Modeling the Error Statistics in Support Vector Regression of Surface Temperature From Infrared Data. - Gabriele Moser; Sebastiano B. Serpico (IEEE Geosci. Remote. Sens. Lett., 2009)

Automatic Parameter Optimization for Support Vector Regression for Land and Sea Surface Temperature Estimation From Remote Sensing Data. - Gabriele Moser; Sebastiano B. Serpico (IEEE Trans. Geosci. Remote. Sens., 2009)

Unsupervised Change Detection From Multichannel SAR Data by Markovian Data Fusion. - Gabriele Moser; Sebastiano B. Serpico (IEEE Trans. Geosci. Remote. Sens., 2009)

High resolution SAR-image classification by Markov random fields and finite mixtures. - Gabriele Moser; Vladimir A. Krylov; Sebastiano B. Serpico; Josiane Zerubia (Computational Imaging, 2010)

Assimilation of SVM-based estimates of land surface temperature for the retrieval of surface energy balance components. - Giorgio Boni; Federica Martina; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2010)

Unsupervised change detection with very high-resolution SAR images by multiscale analysis and Markov random fields. - Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2010)

Contextual remote-sensing image classification by support vector machines and Markov random fields. - Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2010)

Crater detection based on marked point processes. - Giulia Troglio; Jón Atli Benediktsson; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2010)

Unsupervised Change-Detection in Retinal Images by a Multiple-Classifier Approach. - Giulia Troglio; Marina Alberti; Jón Atli Benediktsson; Gabriele Moser; Sebastiano B. Serpico; Einar Stefánsson (MCS, 2010)

A Markovian generalization of support vector machines for contextual supervised classification of hyperspectral images. - Gabriele Moser; Sebastiano B. Serpico (WHISPERS, 2010)

Joint classification of panchromatic and multispectral images by multiresolution fusion through Markov random fields and graph cuts. - Gabriele Moser; Sebastiano B. Serpico (DSP, 2011)

A K-Wishart Markov random field model for clustering of polarimetric SAR imagery. - Vahid Akbari 001; Gabriele Moser; Anthony Paul Doulgeris; Stian Normann Anfinsen; Torbjørn Eltoft; Sebastiano B. Serpico (IGARSS, 2011)

Multitemporal region-based classification of high-resolution images by Markov random fields and multiscale segmentation. - Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2011)

Contextual high-resolution image classification by Markovian data fusion, adaptive texture extraction, and multiscale segmentation. - Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2011)

Supervised High-Resolution Dual-Polarization SAR Image Classification by Finite Mixtures and Copulas. - Vladimir A. Krylov; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (IEEE J. Sel. Top. Signal Process., 2011)

Enhanced Dictionary-Based SAR Amplitude Distribution Estimation and Its Validation With Very High-Resolution Data. - Vladimir A. Krylov; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (IEEE Geosci. Remote. Sens. Lett., 2011)

Multiscale Unsupervised Change Detection on Optical Images by Markov Random Fields and Wavelets. - Gabriele Moser; Elena Angiati; Sebastiano B. Serpico (IEEE Geosci. Remote. Sens. Lett., 2011)

Multichannel hierarchical image classification using multivariate copulas. - Aurélie Voisin; Vladimir A. Krylov; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (Computational Imaging, 2012)

Classification of multi-sensor remote sensing images using an adaptive hierarchical Markovian model. - Aurélie Voisin; Vladimir A. Krylov; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (EUSIPCO, 2012)

Change detection with synthetic aperture radar images by Wilcoxon statistic likelihood ratio test. - Vladimir A. Krylov; Gabriele Moser; Aurélie Voisin; Sebastiano B. Serpico; Josiane Zerubia (ICIP, 2012)

Unsupervised change detection with high-resolution SAR images by edge-preserving Markov random fields and graph-cuts. - Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2012)

Development and validation of multitemporal image analysis methodologies for multirisk monitoring of critical structures and infrastructures. - Sebastiano B. Serpico; Lorenzo Bruzzone; Giovanni Corsini; William J. Emery; Paolo Gamba; Andrea Garzelli; Grégoire Mercier; Josiane Zerubia; Nicola Acito; Bruno Aiazzi; Francesca Bovolo; Fabio Dell'Acqua; et al. (IGARSS, 2012)

Markov random field models for supervised land cover classification from very high resolution multispectral remote sensing images. - Gabriele Moser; Sebastiano B. Serpico; Jón Atli Benediktsson (TyWRRS, 2012)

Extracting information from remote sensing data for applications to flood monitoring and damage evaluation. - Sebastiano B. Serpico; Silvana G. Dellepiane; Gabriele Moser; Elena Angiati; Giorgio Boni; Roberto Rudari; Laura Candela (TyWRRS, 2012)

Automatic Extraction of Ellipsoidal Features for Planetary Image Registration. - Giulia Troglio; Jacqueline Le Moigne; Jón Atli Benediktsson; Gabriele Moser; Sebastiano B. Serpico (IEEE Geosci. Remote. Sens. Lett., 2012)

Information Extraction From Remote Sensing Images for Flood Monitoring and Damage Evaluation. - Sebastiano B. Serpico; Silvana G. Dellepiane; Giorgio Boni; Gabriele Moser; Elena Angiati; Roberto Rudari (Proc. IEEE, 2012)

False discovery rate approach to image change detection. - Vladimir A. Krylov; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (ICIP, 2013)

A multiscale contextual approach to change detection in multisensor VHR remote sensing images. - Gabriele Moser; Michaela De Martino; Sebastiano B. Serpico (IGARSS, 2013)

Multiresolution SAR data fusion for unsupervised change detection. - Gabriele Moser; Sebastiano B. Serpico; Gianni Vernazza (IGARSS, 2013)

Mapping natural and urban environments using airborne multi-sensor ADS40-MIVIS-LiDAR synergies. - Giovanni Forzieri; Luca Tanteri; Gabriele Moser; Filippo Catani (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Classification of Very High Resolution SAR Images of Urban Areas Using Copulas and Texture in a Hierarchical Markov Random Field Model. - Aurélie Voisin; Vladimir A. Krylov; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (IEEE Geosci. Remote. Sens. Lett., 2013)

Land-Cover Mapping by Markov Modeling of Spatial-Contextual Information in Very-High-Resolution Remote Sensing Images. - Gabriele Moser; Sebastiano B. Serpico; Jón Atli Benediktsson (Proc. IEEE, 2013)

A Textural-Contextual Model for Unsupervised Segmentation of Multipolarization Synthetic Aperture Radar Images. - Vahid Akbari 001; Anthony Paul Doulgeris; Gabriele Moser; Torbjørn Eltoft; Stian Normann Anfinsen; Sebastiano B. Serpico (IEEE Trans. Geosci. Remote. Sens., 2013)

Combining Support Vector Machines and Markov Random Fields in an Integrated Framework for Contextual Image Classification. - Gabriele Moser; Sebastiano B. Serpico (IEEE Trans. Geosci. Remote. Sens., 2013)

On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation. - Vladimir A. Krylov; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (IEEE Trans. Image Process., 2013)

New cascade model for hierarchical joint classification of multitemporal, multiresolution and multisensor remote sensing data. - Ihsen Hedhli; Gabriele Moser; Josiane Zerubia; Sebastiano B. Serpico (ICIP, 2014)

Contextual remote-sensing image classification through support vector machines, Markov random fields and graph cuts. - Andrea De Giorgi; Gabriele Moser; Sebastiano Bruno Serpico (IGARSS, 2014)

Fusion of multitemporal and multiresolution remote sensing data and application to natural disasters. - Ihsen Hedhli; Gabriele Moser; Josiane Zerubia; Sebastiano Bruno Serpico (IGARSS, 2014)

The SEAGOSS project: Monitoring coastal seawater in Italy by remote sensing data. - Michaela De Martino; Silvana G. Dellepiane; Laura Gemme; Gabriele Moser; Sebastiano Bruno Serpico; Matteo Toma; Cristiana Degano; Aldo Loiaconi; Ilaria Mainenti; Luis Alberto Cusati; Andrea Pedroncini (IGARSS, 2014)

Air surface temperature estimation from satellite thermal infrared time series and pixelwise modeling of the estimation uncertainty through support vector machines. - Gabriele Moser; Michaela De Martino; Sebastiano B. Serpico (IGARSS, 2014)

Kernel-based classification in complex-valued feature spaces for polarimetric SAR data. - Gabriele Moser; Sebastiano Bruno Serpico (IGARSS, 2014)

An automated flood detection framework for very high spatial resolution imagery. - Andrea Scarsi; William J. Emery; Gabriele Moser; Fabio Pacifici; Sebastiano Bruno Serpico (IGARSS, 2014)

Supervised Classification of Multisensor and Multiresolution Remote Sensing Images With a Hierarchical Copula-Based Approach. - Aurélie Voisin; Vladimir A. Krylov; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (IEEE Trans. Geosci. Remote. Sens., 2014)

New hierarchical joint classification method for SAR-optical multiresolution remote sensing data. - Ihsen Hedhli; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (EUSIPCO, 2015)

Parameter optimization for Markov random field models for remote sensing image classification through sequential minimal optimization. - Andrea De Giorgi; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2015)

New cascade model for hierarchical joint classification of multisensor and multiresolution remote sensing data. - Ihsen Hedhli; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (IGARSS, 2015)

An active learning heuristic using spectral and spatial information for MRF-based classification. - Bo Hu; Gabriele Moser; Sebastiano B. Serpico; Peijun Li (IGARSS, 2015)

Classification of urban structural types with multisource data and structured models. - Arnaud Poncet Montanges; Gabriele Moser; Hannes Taubenböck; Michael Wurm; Devis Tuia (JURSE, 2015)

The URBIS project: Vacant urban area classification and detection of changes. - Gabriele Moser; Vladimir A. Krylov; Michaela De Martino; Sebastiano B. Serpico (JURSE, 2015)

Multimodal Classification of Remote Sensing Images: A Review and Future Directions. - Luis Gómez-Chova; Devis Tuia; Gabriele Moser; Gustau Camps-Valls (Proc. IEEE, 2015)

Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest. - Wenzhi Liao; Xin Huang 002; Frieke Van Coillie; Sidharta Gautama; Aleksandra Pizurica; Wilfried Philips; Hui Liu; Tingting Zhu 004; Michal Shimoni; Gabriele Moser; Devis Tuia (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Estimation of Air Surface Temperature From Remote Sensing Images and Pixelwise Modeling of the Estimation Uncertainty Through Support Vector Machines. - Gabriele Moser; Michaela De Martino; Sebastiano B. Serpico (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Kernel-based Learning for Fault Detection and identification in fuel cell Systems. - Gabriele Moser; Paola Costamagna; Andrea De Giorgi; Lissy Pellaco; Andrea Trucco; Sebastiano B. Serpico (Handbook of Pattern Recognition and Computer Vision, 2016)

Contextual multi-scale image classification on quadtree. - Ihsen Hedhli; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (ICIP, 2016)

Supervised classification of thermal infrared hyperspectral images through Bayesian, Markovian, and region-based approaches. - Francesco Barisione; David Solarna; Andrea De Giorgi; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2016)

Unsupervised change detection on synthetic aperture radar images with generalized gamma distribution. - Fabrizio Crismer; Gabriele Moser; Vladimir A. Krylov; Sebastiano B. Serpico (IGARSS, 2016)

Large urban zone classification on SPOT-5 imagery with convolutional neural networks. - Vladimir A. Krylov; Michaela De Martino; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2016)

Getting pixels and regions to agree with conditional random fields. - Devis Tuia; Michele Volpi; Gabriele Moser (IGARSS, 2016)

Fault Diagnosis Strategies for SOFC-Based Power Generation Plants. - Paola Costamagna; Andrea De Giorgi; Alberto Gotelli; Loredana Magistri; Gabriele Moser; Emanuele Sciaccaluga; Andrea Trucco (Sensors, 2016)

Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2-D Contest. - Manuel Campos-Taberner; Adriana Romero-Soriano; Carlo Gatta; Gustau Camps-Valls; Adrien Lagrange; Bertrand Le Saux; Anne Beaupère; Alexandre Boulch; Adrien Chan-Hon-Tong; Stéphane Herbin; Hicham Randrianarivo; Marin Ferecatu; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Processing of Extremely High Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest - Part B: 3-D Contest. - Anh-Vu Vo; Linh Truong-Hong; Debra F. Laefer; Dirk Tiede; Sebastian d'Oleire-Oltmanns; Andrea Baraldi 001; Michal Shimoni; Gabriele Moser; Devis Tuia (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Polarimetric SAR Change Detection With the Complex Hotelling-Lawley Trace Statistic. - Vahid Akbari 001; Stian Normann Anfinsen; Anthony P. Doulgeris; Torbjørn Eltoft; Gabriele Moser; Sebastiano B. Serpico (IEEE Trans. Geosci. Remote. Sens., 2016)

A New Cascade Model for the Hierarchical Joint Classification of Multitemporal and Multiresolution Remote Sensing Data. - Ihsen Hedhli; Gabriele Moser; Josiane Zerubia; Sebastiano Bruno Serpico (IEEE Trans. Geosci. Remote. Sens., 2016)

Multiresolution Supervised Classification of Panchromatic and Multispectral Images by Markov Random Fields and Graph Cuts. - Gabriele Moser; Andrea De Giorgi; Sebastiano Bruno Serpico (IEEE Trans. Geosci. Remote. Sens., 2016)

False Discovery Rate Approach to Unsupervised Image Change Detection. - Vladimir A. Krylov; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (IEEE Trans. Image Process., 2016)

The IEEE GRSS data and algorithm standard evaluation (DASE) website: Incrementally building a standardized assessment for algorithm performance. - Fabio Dell'Acqua; Gianni Cristian Iannelli; John P. Kerekes; Gabriele Moser; Leland E. Pierce; Emanuele Goldoni (IGARSS, 2017)

Robust change detection from COSMO-SkyMed and RADARSAT-2 multitemporal images. - Andrea Garzelli; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2017)

Planetary crater detection and registration using marked point processes, graph cut algorithms, and wavelet transforms. - Alberto Gotelli; Jacqueline Le Moigne; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2017)

Planetary crater detection and registration using marked point processes, multiple birth and death algorithms, and region-based analysis. - David Solarna; Gabriele Moser; Jacqueline Le Moigne; Sebastiano B. Serpico (IGARSS, 2017)

Multi-resolution classification of urban areas using hierarchical symmetric Markov mesh models. - Ihsen Hedhli; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (JURSE, 2017)

Monitoring of green, open and sealed urban space. - Katerina Jupova; T. Bartalos; Tomás Soukup; Gabriele Moser; Sebastiano B. Serpico; Vladimir A. Krylov; Michaela De Martino; N. Manzke; N. Rochard (JURSE, 2017)

Land use modeling in North Rhine-Westphalia with interaction and scaling laws. - Devis Tuia; Gabriele Moser; Michael Wurm; Hannes Taubenböck (JURSE, 2017)

A Clustering Approach to Heterogeneous Change Detection. - Luigi Tommaso Luppino; Stian Normann Anfinsen; Gabriele Moser; Robert Jenssen; Filippo Maria Bianchi; Sebastiano B. Serpico; Grégoire Mercier (SCIA (2), 2017)

Natural Disaster Monitoring: Multi-Source Image Analysis with Hierarchical Markov Models. - Josiane Zerubia; Sebastiano B. Serpico; Gabriele Moser (ERCIM News, 2017)

Classification of Multisensor and Multiresolution Remote Sensing Images Through Hierarchical Markov Random Fields. - Ihsen Hedhli; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (IEEE Geosci. Remote. Sens. Lett., 2017)

Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest. - Lichao Mou; Xiaoxiang Zhu 001; Maria Vakalopoulou; Konstantinos Karantzalos; Nikos Paragios; Bertrand Le Saux; Gabriele Moser; Devis Tuia (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Very High Resolution Optical Image Classification Using Watershed Segmentation and a Region-Based Kernel. - Andrea De Giorgi; Gabriele Moser; Giovanni Poggi; Giuseppe Scarpa; Sebastiano B. Serpico (IGARSS, 2018)

Improving Maps from CNNs Trained with Sparse, Scribbled Ground Truths Using Fully Connected CRFs. - Luca Maggiolo; Diego Marcos; Gabriele Moser; Devis Tuia (IGARSS, 2018)

Remote Sensing Image Regression for Heterogeneous Change Detection. - Luigi Tommaso Luppino; Filippo Maria Bianchi; Gabriele Moser; Stian Normann Anfinsen (MLSP, 2018)

A Markovian Approach to Unsupervised Change Detection with Multiresolution and Multimodality SAR Data. - David Solarna; Gabriele Moser; Sebastiano B. Serpico (Remote. Sens., 2018)

Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest. - Naoto Yokoya; Pedram Ghamisi; Junshi Xia; Sergey Sukhanov; Roel Heremans; Ivan Tankoyeu; Benjamin Bechtel; Bertrand Le Saux; Gabriele Moser; Devis Tuia (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Decision Fusion With Multiple Spatial Supports by Conditional Random Fields. - Devis Tuia; Michele Volpi; Gabriele Moser (IEEE Trans. Geosci. Remote. Sens., 2018)

Causal Markov Mesh Hierarchical Modeling for the Contextual Classification of Multiresolution Satellite Images. - Alessandro Montaldo; Luca Fronda; Ihsen Hedhli; Gabriele Moser; Sebastiano Bruno Serpico; Josiane Zerubia (ICIP, 2019)

Recovery Monitoring in Haiti After Hurricane Matthew Through Markov Random Fields and A Region-Based Approach. - Andrea De Giorgi; Gabriele Moser; Giorgio Boni; Anna Rita Pisani; Deodato Tapete; Simona Zoffoli; Sebastiano B. Serpico (IGARSS, 2019)

Joint Classification of Multiresolution and Multisensor Data Using a Multiscale Markov Mesh Model. - Alessandro Montaldo; Luca Fronda; Ihsen Hedhli; Gabriele Moser; Josiane Zerubia; Sebastiano B. Serpico (IGARSS, 2019)

Multiresolution and Multimodality Sar Data Fusion Based on Markov and Conditional Random Fields for Unsupervised Change Detection. - David Solarna; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2019)

DCNN for Tactile Sensory Data Classification based on Transfer Learning. - Mohamad Alameh; Ali Ibrahim; Maurizio Valle; Gabriele Moser (PRIME, 2019)

Unsupervised Image Regression for Heterogeneous Change Detection. - Luigi Tommaso Luppino; Filippo Maria Bianchi; Gabriele Moser; Stian Normann Anfinsen (IEEE Trans. Geosci. Remote. Sens., 2019)

Data Fusion Contest 2017 (DFC2017). - Devis Tuia; Gabriele Moser; Bertrand Le Saux; Benjamin Bechtel (IEEE DataPort, 2019)

Data Fusion Contest 2016 (DFC2016). - Devis Tuia; Gabriele Moser; Bertrand Le Saux; Roberto Fabrizi; Sven Cowan (IEEE DataPort, 2019)

Automatic Area-Based Registration of Optical and SAR Images Through Generative Adversarial Networks and a Correlation-Type Metric. - Luca Maggiolo; David Solarna; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2020)

Change Detection with Heterogeneous Remote Sensing Data: From Semi-Parametric Regression to Deep Learning. - Gabriele Moser; Stian Normann Anfinsen; Luigi Tommaso Luppino; Sebastiano B. Serpico (IGARSS, 2020)

Urban Land-Use and Land-Cover Mapping Based on the Classification of Transport Demand and Remote Sensing Data. - Chiara Tacconi; Maria Pia Tuscano; Gabriele Moser; Nicola Sacco (IGARSS, 2020)

Heterogeneous Change Detection with Self-Supervised Deep Canonically Correlated Autoencoders. - Federico Figari Tomenotti; Luigi Tommaso Luppino; Mads A. Hansen; Gabriele Moser; Stian Normann Anfinsen (IGARSS, 2020)

Crater Detection and Registration of Planetary Images Through Marked Point Processes, Multiscale Decomposition, and Region-Based Analysis. - David Solarna; Alberto Gotelli; Jacqueline Le Moigne; Gabriele Moser; Sebastiano B. Serpico (IEEE Trans. Geosci. Remote. Sens., 2020)

Hierarchical Probabilistic Graphical Models and Deep Convolutional Neural Networks for Remote Sensing Image Classification. - Martina Pastorino; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (EUSIPCO, 2021)

Road Extraction and Road Width Estimation Via Fusion of Aerial Optical Imagery, Geospatial Data, and Street-Level Images. - Andrea Grillo; Vladimir A. Krylov; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2021)

Semantic Segmentation of Remote Sensing Images Combining Hierarchical Probabilistic Graphical Models and Deep Convolutional Neural Networks. - Martina Pastorino; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (IGARSS, 2021)

Experimental Comparison of Registration Methods for Multisensor Sar-Optical Data. - Béatrice Pinel-Puysségur; Luca Maggiolo; Michel Roux; Nicolas Gasnier; David Solarna; Gabriele Moser; Sebastiano B. Serpico; Florence Tupin (IGARSS, 2021)

Traffic Zones Discretization and Origin-Destination Matrix Estimation by means of Transport Demand and Satellite Data Fusion. - Tommaso Prosperi; Gabriele Moser; Nicola Sacco; Francesco Rebora (ITSC, 2021)

Monitoring the Recovery after 2016 Hurricane Matthew in Haiti via Markovian Multitemporal Region-Based Modeling. - Andrea De Giorgi; David Solarna; Gabriele Moser; Deodato Tapete; Francesca Cigna; Giorgio Boni; Roberto Rudari; Sebastiano Bruno Serpico; Anna Rita Pisani; Antonio Montuori; Simona Zoffoli (Remote. Sens., 2021)

Multisensor and Multiresolution Remote Sensing Image Classification through a Causal Hierarchical Markov Framework and Decision Tree Ensembles. - Martina Pastorino; Alessandro Montaldo; Luca Fronda; Ihsen Hedhli; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (Remote. Sens., 2021)

Fully Convolutional and Feedforward Networks for The Semantic Segmentation of Remotely Sensed Images. - Martina Pastorino; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (ICIP, 2022)

Optical-SAR Decision Fusion with Markov Random Fields for High-Resolution Large-Scale Land Cover Mapping. - Luca Maggiolo; David Solarna; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2022)

A CNN-Transformer Knowledge Distillation for Remote Sensing Scene Classification. - Mostaan Nabi; Luca Maggiolo; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2022)

Semantic Segmentation of SAR Images Through Fully Convolutional Networks and Hierarchical Probabilistic Graphical Models. - Martina Pastorino; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (IGARSS, 2022)

A Tiling-Based Strategy for Large-Scale Multisensor Optical-Sar Image Registration. - David Solarna; Luca Maggiolo; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2022)

Graph-Based Segmentation and Markov Random Field for Covid-19 Infection in Lung CT Volumes. - Giulia Iaconi; Federica Ferraro; Marco Balletto; David Solarna; Marco Trombini; Gabriele Moser; Silvana G. Dellepiane (SYSINT, 2022)

Registration of Multisensor Images through a Conditional Generative Adversarial Network and a Correlation-Type Similarity Measure. - Luca Maggiolo; David Solarna; Gabriele Moser; Sebastiano Bruno Serpico (Remote. Sens., 2022)

Multimodal Fusion of Mobility Demand Data and Remote Sensing Imagery for Urban Land-Use and Land-Cover Mapping. - Martina Pastorino; Federico Gallo; Angela Di Febbraro; Gabriele Moser; Nicola Sacco; Sebastiano B. Serpico (Remote. Sens., 2022)

Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection. - Luigi Tommaso Luppino; Michael Kampffmeyer; Filippo Maria Bianchi; Gabriele Moser; Sebastiano Bruno Serpico; Robert Jenssen; Stian Normann Anfinsen (IEEE Trans. Geosci. Remote. Sens., 2022)

A Semisupervised CRF Model for CNN-Based Semantic Segmentation With Sparse Ground Truth. - Luca Maggiolo; Diego Marcos; Gabriele Moser; Sebastiano B. Serpico; Devis Tuia (IEEE Trans. Geosci. Remote. Sens., 2022)

Semantic Segmentation of Remote-Sensing Images Through Fully Convolutional Neural Networks and Hierarchical Probabilistic Graphical Models. - Martina Pastorino; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (IEEE Trans. Geosci. Remote. Sens., 2022)

Prediction of Cloud-to-Ground Lightning Through Gaussian Process Regression with Satellite Thermal Infrared Imagery and Numerical Weather Prediction Modeling Data. - Alice La Fata; Lorenzo Farina; Marina Bernardi; Gabriele Moser; Renato Procopio; Elisabetta Fiori (IGARSS, 2023)

Heterogeneous Change Detection With Hyperspectral Prisma Data And Sar Cosmo-Skymed Imagery. - Ignacio Masari; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2023)

Contextual Classification of Polarimetric Sar Data Through a Complex-Valued Kernel and Global Energy Minimization. - Ignacio Masari; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2023)

Classification of Multimission SAR Images Based on Probabilistic Graphical Models and Convolutional Neural Networks. - Martina Pastorino; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (IGARSS, 2023)

Learning CRF potentials through fully convolutional networks for satellite image semantic segmentation. - Martina Pastorino; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (SITIS, 2023)

A goal-driven unsupervised image segmentation method combining graph-based processing and Markov random fields. - Marco Trombini; David Solarna; Gabriele Moser; Silvana G. Dellepiane (Pattern Recognit., 2023)

Probabilistic Fusion Framework Combining CNNs and Graphical Models for Multiresolution Satellite and UAV Image Classification. - Martina Pastorino; Gabriele Moser; Fabien Guerra; Sebastiano B. Serpico; Josiane Zerubia (ICPR (2), 2024)

A Deep Learning Architecture for Unsupervised Feature Extraction from Multimission SAR Time Series. - Ignacio Masari; Luca Maggiolo; Gabriele Moser; Sebastiano B. Serpico (IGARSS, 2024)

A Multiresolution Fusion Framework based on Probabilistic Graphical Modeling for Burnt Zones Mapping from Satellite and UAV Imagery. - Martina Pastorino; Gabriele Moser; Fabien Guerra; Sebastiano B. Serpico; Josiane Zerubia (IGARSS, 2024)

Remote Sensing Contributions to Water-Related Risk Management within "Return", the Italian National Program on Environmental Risks in the Next Generation EU Framework. - Roozbeh Rajabi; Giovanni Besio; Giorgio Boni; Arianna Cauteruccio; Edoardo Cremonese; Ilaria Gnecco; Gabriele Moser; Sebastiano B. Serpico; Luca Trotter (IGARSS, 2024)

Multimission, Multifrequency, and Multiresolution SAR Image Classification Through Hierarchical Markov Models and Convolutional Networks. - Martina Pastorino; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (IEEE Geosci. Remote. Sens. Lett., 2024)

CRFNet: A Deep Convolutional Network to Learn the Potentials of a CRF for the Semantic Segmentation of Remote Sensing Images. - Martina Pastorino; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (IEEE Trans. Geosci. Remote. Sens., 2024)

Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images. - Luigi Tommaso Luppino; Mads A. Hansen; Michael Kampffmeyer; Filippo Maria Bianchi; Gabriele Moser; Robert Jenssen; Stian Normann Anfinsen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deep Diffusion Models and Unsupervised Hyperspectral Unmixing for Realistic Abundance Map Synthesis. - Martina Pastorino; Michael Alibani; Nicola Acito; Gabriele Moser (CVPR Workshops, 2025)

Multiresolution Fusion and Classification of Hyperspectral and Panchromatic Remote Sensing Images. - Martina Pastorino; Gabriele Moser; Sebastiano B. Serpico; Josiane Zerubia (WACV (Workshops), 2025)

Manifold Learning and Deep Generative Networks for Heterogeneous Change Detection From Hyperspectral and Synthetic Aperture Radar Images. - Ignacio Masari; Gabriele Moser; Sebastiano B. Serpico (IEEE Geosci. Remote. Sens. Lett., 2025)

Investigating the Potential of Deep Learning Approaches in the Reconstruction of VNIR-SWIR Hyperspectral Data From Multispectral Imagery. - Michael Alibani; Martina Pastorino; Gabriele Moser; Nicola Acito (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

A Gaussian Process Regression Method to Nowcast Cloud-to-Ground Lightning From Remote Sensing and Numerical Weather Modeling Data. - Alice La Fata; Gabriele Moser; Renato Procopio; Marina Bernardi; Elisabetta Fiori (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)