Sebastiano B. Serpico

发表

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.

Feature selection for remote-sensing data classification

Lorenzo Bruzzone, Sebastiano B. Serpico, P. Pellegretti, 1994, Remote Sensing.

The OPERA project: EO-based flood risk management in Italy

Sebastiano B. Serpico, Silvana G. Dellepiane, Giorgio Boni, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Feature reduction and supervised classification methodologies for hyperspectral image analysis

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

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.

An automatic technique for detecting land-cover transitions

Lorenzo Bruzzone, Sebastiano B. Serpico, Fabio Roli, 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.

Land-cover classification in remote-sensing images using structured neural networks

Sebastiano B. Serpico, Fabio Roli, F. Roli, 1995 .

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.

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).

A K-Wishart Markov random field model for clustering of polarimetric SAR imagery

Gabriele Moser, Sebastiano B. Serpico, Torbjørn Eltoft, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

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.

A Spatio-spectral Data Fusion Method for the Detection of Urban Areas in optical High Resolution Images by a Novel MRF Model

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

Analysis and Segmentation of Remote Sensing Images for Land-Cover Mapping

Sebastiano B. Serpico, Paul C. Smits, 1997, ICIAP.

Data Fusion Approach to MR Image Recognition Through Tissue Characterization

Sebastiano B. Serpico, Silvana G. Dellepiane, Carlo S. Regazzoni, 1989 .

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

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

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 fuzzy spatio-temporal contextual classifier for remote sensing images

Sebastiano B. Serpico, Farid Melgani, 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

Recognition Of Partially Occluded Workpieces By A Knowledge-Based System

Sebastiano B. Serpico, Silvana G. Dellepiane, G. Vernazza, 1987, Other Conferences.

A hybrid system for two-dimensional image recognition

Sebastiano B. Serpico, Fabio Roli, Gianni Vernazza, 1996 .

An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images

Lorenzo Bruzzone, Sebastiano B. Serpico, Fabio Roli, 1996, Pattern Recognit. Lett..

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.

Territorial analysis by fusion of LANDSAT and SAR data

Sebastiano B. Serpico, Fabio Roli, Gianni Vernazza, 1991, Defense, Security, and Sensing.

Crater detection based on marked point processes

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

Automatic unsupervised classification of snow-covered areas by decision-tree classification and minimum-error thresholding

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

Control strategies for error handling in a knowledge-based system for image processing and recognition

Sebastiano B. Serpico, Gianni Vernazza, D. Agazzani, 1990, Defense, Security, and Sensing.

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.

Multisource data classification with dependence trees

Sebastiano B. Serpico, Farid Melgani, Mihai Datcu, 2002, IEEE Trans. Geosci. Remote. Sens..

Fractal-Based Image Analysis In Radiological Applications

Sebastiano B. Serpico, Silvana G. Dellepiane, Gianni Vernazza, 1987, Other Conferences.

Analysis and classification of SAR images by a knowledge-based approach

Sebastiano B. Serpico, Silvana G. Dellepiane, Gianni Vernazza, 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

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.

False Discovery Rate Approach to Unsupervised Image Change Detection

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

Classification of imbalanced remote-sensing data by neural networks

Lorenzo Bruzzone, Sebastiano B. Serpico, L. Bruzzone, 1997, Pattern Recognit. Lett..

Crack Detection by a Measure of Texture Anisotropy

Lorenzo Bruzzone, Sebastiano B. Serpico, Fabio Roli, 1995, ICIAP.

Remote Sensing of Natural Disasters

Sebastiano B. Serpico, Kun-Shan Chen, James A. Smith, 2012, Proc. IEEE.

Extension of IBIS for 3D organ recognition in NMR multislices

Sebastiano B. Serpico, Silvana G. Dellepiane, Gianni Vernazza, 1988, Pattern Recognit. Lett..

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.

Supervised classification of remote sensing images with unknown classes

Gabriele Moser, Sebastiano B. Serpico, Alicia Guerrero-Curieses, 2002, IEEE International Geoscience and Remote Sensing Symposium.

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).

An automated flood detection framework for very high spatial resolution imagery

William J. Emery, Gabriele Moser, Sebastiano B. Serpico, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Multichannel SAR Image Multichannel SAR Image Classification by Finite Mixtures, Classification by Finite Mixtures, Copulas and Markov Random Copulas and Markov Random

Sebastiano B. Serpico, Josiane Zerubia, Vladimir A. Krylov, 2010 .

A simple upper bound to the Bayes error probability for feature selection

Lorenzo Bruzzone, Sebastiano B. Serpico, 1998, Kybernetika.

Detection of arcs in workpiece images

Sebastiano B. Serpico, Federico Perotti, Gianni Vernazza, 1989, Recent Issues in Pattern Analysis and Recognition.

Textural Analysis Of 3D Objects By A Fractal-Preserving Approach

Sebastiano B. Serpico, Silvana G. Dellepiane, Carlo S. Regazzoni, 1988, Other Conferences.

A new search algorithm for feature selection in hyperspectral remote sensing images

Lorenzo Bruzzone, Sebastiano B. Serpico, L. Bruzzone, 2001, IEEE Trans. Geosci. Remote. Sens..

A knowledge-based system for biomedical image processing and recognition

Sebastiano B. Serpico, Silvana G. Dellepiane, Gianni Vernazza, 1987 .

An iterative technique for the detection of land-cover transitions in multitemporal remote-sensing images

Lorenzo Bruzzone, Sebastiano B. Serpico, L. Bruzzone, 1997, IEEE Trans. Geosci. Remote. Sens..

Supervised classification of thermal infrared hyperspectral images through Bayesian, Markovian, and region-based approaches

Gabriele Moser, Sebastiano B. Serpico, David Solarna, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Information Fusion By A Knowledge-based System For Sar Image Interpretation

Daniele D. Giusto, Sebastiano B. Serpico, Silvana G. Dellepiane, 1988, International Geoscience and Remote Sensing Symposium, 'Remote Sensing: Moving Toward the 21st Century'..

Automatic parameter computation for edge detection by the zero-crossing method

Daniele D. Giusto, Sebastiano B. Serpico, Silvana G. Dellepiane, 1989 .

A SVM ensemble approach for spectral-contextual classification of optical high spatial resolution imagery

Sebastiano B. Serpico, Maciel Zortea, Michaela De Martino, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Unsupervised Detection of Temporal Changes in Fundus Images

Gabriele Moser, Sebastiano B. Serpico, G. Troglio, 2010 .

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.

Air surface temperature estimation from satellite thermal infrared time series and pixelwise modeling of the estimation uncertainty through support vector machines

Gabriele Moser, Sebastiano B. Serpico, Michaela De Martino, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Unsupervised Heterogeneous Change Detection in Radar Images by Cross-domain Affinity Matching

Gabriele Moser, Sebastiano B. Serpico, Stian N. Anfinsen, 2020, 2020 IEEE Radar Conference (RadarConf20).

Structured neural networks for signal classification

Lorenzo Bruzzone, Sebastiano B. Serpico, Fabio Roli, 1998, Signal Process..

Fusion of multitemporal contextual information by neural networks for multisensor image classification

Sebastiano B. Serpico, Farid Melgani, Gianni Vernazza, 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

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.

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.

Detection of changes in remotely-sensed images by the selective use of multi-spectral information

Lorenzo Bruzzone, Sebastiano B. Serpico, L. Bruzzone, 1997 .

Supervised Learning of Descriptions for Image Recognition Purposes

Sebastiano B. Serpico, Fabio Roli, Gianni Vernazza, 1994, IEEE Trans. Pattern Anal. Mach. Intell..

Detection of land cover changes by compound classification of multitemporal images

Lorenzo Bruzzone, Sebastiano B. Serpico, Fabio Roli, 1995, Remote Sensing.

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.

PROPOSAL OF DIFFERENT APPROACHES TO SPATIO-TEMPORAL CONTEXTUAL CLASSIFICATION OF REMOTE-SENSING IMAGES

Sebastiano B. Serpico, Farid Melgani, 2002 .

Region Growing and Merging Techniques for Accurate Image Segmentation

Sebastiano B. Serpico, Giuliano Armano, Carlo S. Regazzoni, 1989 .

A multiscale contextual approach to change detection in multisensor VHR remote sensing images

Gabriele Moser, Sebastiano B. Serpico, Michaela De Martino, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Feature Reduction for Classification Purpose

Gabriele Moser, Sebastiano B. Serpico, Andrea F. Cattoni, 2006 .

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

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2004, SPIE Remote Sensing.

Unsupervised change-detection methods for remote-sensing images

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

Large urban zone classification on SPOT-5 imagery with convolutional neural networks

Gabriele Moser, Sebastiano B. Serpico, Vladimir A. Krylov, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Merging Of Different Segmentation Techniques For Cell Image Recognition

Sebastiano B. Serpico, Silvana G. Dellepiane, Gianni Vernazza, 1989, Other Conferences.

New search algorithm for feature selection in high-dimensional remote sensing images

Lorenzo Bruzzone, Sebastiano B. Serpico, 1998, Remote Sensing.

Kernel-based classification in complex-valued feature spaces for polarimetric SAR data

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

Finite mixture models and stochastic expectation-maximization for SAR amplitude probability density function estimation based on a dictionary of parametric families

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

Classification of Multisensor and Multiresolution Remote Sensing Images Through Hierarchical Markov Random Fields

Sebastiano B. Serpico, Josiane Zerubia, Ihsen Hedhli, 2017, IEEE Geoscience and Remote Sensing Letters.

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

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

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.

Foreword to the Special Issue on Advances in Techniques for Analysis of Remotely Sensed Data

Sebastiano B. Serpico, John A. Richards, Melba M. Crawford, 2005, 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.

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.

Classification of High-Resolution Images Based on MRF Fusion and Multiscale Segmentation

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

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

Gabriele Moser, Sebastiano B. Serpico, 2006, IEEE Trans. Geosci. Remote. Sens..

Automatic acquisition of visual models for image recognition

Sebastiano B. Serpico, Fabio Roli, P. Pellegretti, 1992, [1992] Proceedings. 11th IAPR International Conference on Pattern Recognition.

Operational evaluation of damages in flooded areas combining Cosmo-Skymed and multispectral optical images

Sebastiano B. Serpico, Silvana G. Dellepiane, Giorgio Boni, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

MRF model parameter estimation for contextual supervised classification of remote-sensing images

Gabriele Moser, Sebastiano B. Serpico, Federico Causa, 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

Multiresolution and Multimodality Sar Data Fusion Based on Markov and Conditional Random Fields for Unsupervised Change Detection

Gabriele Moser, Sebastiano B. Serpico, David Solarna, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

A mutual approach based on Markov random fields for multitemporal contextual classification of remote sensing images

Sebastiano B. Serpico, Farid Melgani, 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

Forest mapping by partially surpervised classification applied to vegetation indexes

Sebastiano B. Serpico, Michaela De Martino, Caterina Camurri, 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

Surface-Preserving Smoothing in 3-D NMR Imaging

Sebastiano B. Serpico, Silvana G. Dellepiane, G. Vernazza, 1987 .

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.

Causal Markov Mesh Hierarchical Modeling for the Contextual Classification of Multiresolution Satellite Images

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Classification of multisensor remote-sensing images by multiple structured neural networks

Lorenzo Bruzzone, Sebastiano B. Serpico, Fabio Roli, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Planetary crater detection and registration using marked point processes, graph cut algorithms, and wavelet transforms

Gabriele Moser, Sebastiano B. Serpico, Jacqueline Le Moigne, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Unsupervised change detection with high-resolution SAR images by edge-preserving Markov random fields and graph-cuts

Gabriele Moser, Sebastiano B. Serpico, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Classification of very high resolution SAR images of urban areas by dictionary-based mixture models, copulas, and Markov random fields using textural features

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2010, Remote Sensing.

A technique for defining the architecture and weights of a neural image classifier

Sebastiano B. Serpico, Fabio Roli, Gianni Vernazza, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Multiresolution SAR data fusion for unsupervised change detection

Gabriele Moser, Sebastiano B. Serpico, Gianni Vernazza, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Unsupervised Change-Detection in Retinal Images by a Multiple-Classifier Approach

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

Structured neural networks for signal classification

Lorenzo Bruzzone, Sebastiano B. Serpico, Fabio Roli, 1998, Signal Process..

Recovery Monitoring in Haiti After Hurricane Matthew Through Markov Random Fields and A Region-Based Approach

Gabriele Moser, Sebastiano B. Serpico, Giorgio Boni, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

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).

Kernel-based Learning for Fault Detection and identification in fuel cell Systems

Gabriele Moser, Sebastiano B. Serpico, Andrea Trucco, 2016, Handbook of Pattern Recognition and Computer Vision.

Problems And Prospects In Image Processing Of Two-Dimensional Gel Electrophoresis

Sebastiano B. Serpico, G. Vernazza, 1987 .

Classification of multispectral remote-sensing images by neural networks

Lorenzo Bruzzone, Sebastiano B. Serpico, Fabio Roli, 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

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.

Contextual high-resolution image classification by Markovian data fusion, adaptive texture extraction, and multiscale segmentation

Gabriele Moser, Sebastiano B. Serpico, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

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.

An extension of the Jeffreys-Matusita distance to multiclass cases for feature selection

Lorenzo Bruzzone, Sebastiano B. Serpico, Fabio Roli, 1995, IEEE Trans. Geosci. Remote. Sens..

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.

Markov random field based image segmentation with adaptive neighborhoods to the detection of fine structures in SAR data

Sebastiano B. Serpico, Silvana G. Dellepiane, P. C. Smits, 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.

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).

Planetary crater detection and registration using marked point processes, multiple birth and death algorithms, and region-based analysis

Gabriele Moser, Sebastiano B. Serpico, Jacqueline Le Moigne, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

False discovery rate approach to image change detection

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

Neural networks for classification of remotely sensed images

Sebastiano B. Serpico, Fabio Roli, Gianni Vernazza, 1996 .

Foreword to the Special Issue on the 2015 IEEE International Geoscience and Remote Sensing Symposium

Lorenzo Bruzzone, Vito Pascazio, Paolo Gamba, 2016, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens..

Generation and optimization of certainty factors for remote-sensing image classification

Sebastiano B. Serpico, Fabio Roli, Gianni Vernazza, 1993 .

Multisensor image processing

Sebastiano B. Serpico, N. Hindley, I. H. Jones-Parry, 1991, Other Conferences.

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).

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.

Automatic Extraction of Ellipsoidal Features for Planetary Image Registration

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

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

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

Conditional copula for change detection on heterogeneous SAR data

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

An a-contrario approach for unsupervised change detection in radar images

Gabriele Moser, Sebastiano B. Serpico, Amandine Robin, 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.

Monitoring of green, open and sealed urban space

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

An experimental comparison of neural networks for the classification of multisensor remote-sensing images

Lorenzo Bruzzone, Sebastiano B. Serpico, Fabio Roli, 1995, 1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications.

Supervised High-Resolution Dual-Polarization SAR Image Classification by Finite Mixtures and Copulas

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2011, IEEE Journal of Selected Topics in Signal Processing.

Contextual multi-scale image classification on quadtree

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

Automatic Registration of Retinal Images Using Genetic Algorithms

Gabriele Moser, Sebastiano B. Serpico, G. Troglio, 2008 .

ADVANCES IN UNSUPERVISED CHANGE DETECTION

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

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

Gabriele Moser, Sebastiano B. Serpico, 2006 .

A Markov random field approach to spatio-temporal contextual image classification

Sebastiano B. Serpico, Farid Melgani, 2003, IEEE Trans. Geosci. Remote. Sens..

Computerized Analysis Of Two-Dimensional Electrophoretic Images

Daniele D. Giusto, Sebastiano B. Serpico, Gianni Vernazza, 1986, Other Conferences.

Fractal dimension estimation by adaptive mask selection

F. Arduini, Sebastiano B. Serpico, Silvana G. Dellepiane, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

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.

Cell algorithms with data inflation for non-parametric classification

Sebastiano B. Serpico, Farid Melgani, Alessandro M. Palau, 2006, Pattern Recognit. Lett..

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.

Unsupervised change detection on synthetic aperture radar images with generalized gamma distribution

Gabriele Moser, Sebastiano B. Serpico, Vladimir A. Krylov, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Structured neural networks for the classification of multisensor remote-sensing images

Sebastiano B. Serpico, Fabio Roli, P. Pellegretti, 1993, Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium.

A new adaptive approach to picture coding

Daniele D. Giusto, Sebastiano B. Serpico, Carlo S. Regazzoni, 1990 .

Unsupervised change detection methods for remote sensing images

Gabriele Moser, Sebastiano B. Serpico, Farid Melgani, 2002, SPIE Remote Sensing.

Neural networks for classification of multisensor remote-sensing images on intelligent terminals

Sebastiano B. Serpico, Fabio Roli, Gianni Vernazza, 1993 .

Unsupervised Change Detection From Multichannel SAR Images

Gabriele Moser, Sebastiano B. Serpico, Gianni Vernazza, 2007, IEEE Geoscience and Remote Sensing Letters.

Robust change detection from COSMO-SkyMed and RADARSAT-2 multitemporal images

Gabriele Moser, Sebastiano B. Serpico, Andrea Garzelli, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Multitemporal region-based classification of high-resolution images by Markov random fields and multiscale segmentation

Gabriele Moser, Sebastiano B. Serpico, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Image and Signal Processing for Remote Sensing V

Sebastiano B. Serpico, S. Serpico, 1998 .

Very High Resolution Optical Image Classification Using Watershed Segmentation and a Region-Based Kernel

Gabriele Moser, Sebastiano B. Serpico, Giuseppe Scarpa, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Effects of parameter tuning and de-speckle filtering on the accuracy of SAR image classification based on gray-level co-occurrence matrix features

Lorenzo Bruzzone, Sebastiano B. Serpico, Gianni Vernazza, 1997, IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development.

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.

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.

Automatic Parameter Optimization for Support Vector Regression for Land and Sea Surface Temperature Estimation From Remote Sensing Data

Gabriele Moser, Sebastiano B. Serpico, 2009, 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.

Modeling the Error Statistics in Support Vector Regression of Surface Temperature From Infrared Data

Gabriele Moser, Sebastiano B. Serpico, 2009, IEEE Geoscience and Remote Sensing Letters.

Natural Disaster Monitoring: Multi-Source Image Analysis with Hierarchical Markov Models

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2017, ERCIM News.

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.

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.

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

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

Development and validation of multitemporal image analysis methodologies for multirisk monitoring of critical structures and infrastructures

Francesca Bovolo, Lorenzo Bruzzone, William J. Emery, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

A Learning System For The Generation Of Conceptual Descriptions For Workpiece Recognition Purposes

Sebastiano B. Serpico, Silvana G. Dellepiane, Fabio Roli, 1988, Proceedings.14 Annual Conference of Industrial Electronics Society.

Introduction to the special issue on analysis of hyperspectral image data

Sebastiano B. Serpico, David A. Landgrebe, Melba M. Crawford, 2001, IEEE Trans. Geosci. Remote. Sens..

Spatial correlation features for classification of SAR images

Sebastiano B. Serpico, Silvana G. Dellepiane, Roberto Vaccaro, 1997, Remote Sensing.

CONTEXTUAL CLASSIFICATION OF MULTISENSOR OPTICAL-SAR REMOTE SENSING IMAGES

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

Developments and experimental results of K-B system for workpieces recognition

Sebastiano B. Serpico, Silvana G. Dellepiane, Gianni Vernazza, 1989, Proceedings. Electrotechnical Conference Integrating Research, Industry and Education in Energy and Communication Engineering',.

A CAUSAL HIERARCHICAL MARKOV FRAMEWORK FOR THE CLASSIFICATION OF MULTIRESOLUTION AND MULTISENSOR REMOTE SENSING IMAGES

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2020 .

SVM-based density estimation for supervised classification of remotely sensed images with unknown classes

Gabriele Moser, Sebastiano B. Serpico, Paolo Mantero, 2004, SPIE Remote Sensing.

A System for the Interpretation of 3-d Moving Scenes from 2-d Image Sequences

Sebastiano B. Serpico, Federico Perotti, Gianni Vernazza, 1991, Int. J. Pattern Recognit. Artif. Intell..

Some Results In Multi-Energy Digital Radiology

Sebastiano B. Serpico, Gianni Vernazza, Francesco Caratozzolo, 1985, Medical Imaging.

New hierarchical joint classification method for SAR-optical multiresolution remote sensing data

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Generation of land-cover descriptions for the classification of multisensor remote-sensing images

Sebastiano B. Serpico, P. Pellegretti, Gianni Vernazza, 1993, Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium.

A parallel network of modified 1-NN and k-NN classifiers - Application to remote-sensing image classification

Sebastiano B. Serpico, Fabio Roli, Adam Józwik, 1998, Pattern Recognit. Lett..

Supervised Classification of Multisensor and Multiresolution Remote Sensing Images With a Hierarchical Copula-Based Approach

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2014, IEEE Transactions on Geoscience and Remote Sensing.

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).

High resolution COSMO/SkyMed SAR data analysis for civil protection from flooding events

Sebastiano B. Serpico, Giorgio Boni, Fabio Castelli, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Improving change-detection accuracy by exploiting multispectral information

Lorenzo Bruzzone, Sebastiano B. Serpico, Fabio Roli, 1996, 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.

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.

An adaptive probabilistic model for straight edge-extraction within a multilevel MRF framework

Sebastiano B. Serpico, Carlo S. Regazzoni, Gianluca Foresti, 1995, 1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications.

High resolution SAR-image classification by Markov random fields and finite mixtures

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2010, Electronic Imaging.

Multi-resolution classification of urban areas using hierarchical symmetric Markov mesh models

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2017, 2017 Joint Urban Remote Sensing Event (JURSE).

Remote Sensing Data Fusion By Means Of A Region-overlapping Technique

Sebastiano B. Serpico, C. Dambra, A. Wielogorski, 1991, [Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management.

Multiscale unsupervised change detection by Markov random fields and wavelet transforms

Gabriele Moser, Sebastiano B. Serpico, Elena Angiati, 2007, SPIE 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.

Assimilation of SVM-based estimates of land surface temperature for the retrieval of surface energy balance components

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

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.

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 .

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.

Multisensor data classification with dependence trees

Sebastiano B. Serpico, Farid Melgani, Mihai P. Datcu, 2001, SPIE Remote Sensing.

Image Recognition by Integration of Connectionist and Symbolic Approaches

Sebastiano B. Serpico, Fabio Roli, Gianni Vernazza, 1995, Int. J. Pattern Recognit. Artif. Intell..

The project ENDORSE: exploiting EO data to develop pre-market services in renewable energy

Sebastiano B. Serpico, Lucien Wald, Thomas A. Huld, 2011, EnviroInfo.

Unsupervised Change Detection in Multitemporal Images of the Human Retina

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

Multisensor image classification by structured neural networks

Sebastiano B. Serpico, Fabio Roli, Gianni Vernazza, 1993, Neural Networks for Signal Processing III - Proceedings of the 1993 IEEE-SP Workshop.

A Vision System for the Interpretation of 3D Complex Moving Scenes

Sebastiano B. Serpico, Gianni Vernazza, 1988, MVA.

A Clustering Approach to Heterogeneous Change Detection

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

Image fusion techniques for remote sensing applications

Lorenzo Bruzzone, Sebastiano B. Serpico, Francesco Carlo Morabito, 2002, Inf. Fusion.

A neural-statistical approach to multitemporal and multisource remote-sensing image classification

Lorenzo Bruzzone, Sebastiano B. Serpico, Diego Fernández-Prieto, 1999, IEEE Trans. Geosci. Remote. Sens..

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

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

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.

Multichannel hierarchical image classification using multivariate copulas

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2012, Electronic Imaging.

Intelligent control of signal processing algorithms in communications

Sebastiano B. Serpico, Fabio Roli, Gianni Vernazza, 1994, IEEE J. Sel. Areas Commun..

Interpretation of Tomographic Images via Virtual-Data Fusion

Daniele D. Giusto, Sebastiano B. Serpico, Silvana G. Dellepiane, 1989 .

Frontiers in Spectral-Spatial Classification of Hyperspectral Images

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

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.

A Textural–Contextual Model for Unsupervised Segmentation of Multipolarization Synthetic Aperture Radar Images

Gabriele Moser, Sebastiano B. Serpico, Torbjørn Eltoft, 2013, IEEE Transactions on Geoscience 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.

Classification of multisensor remote-sensing images by structured neural networks

Sebastiano B. Serpico, Fabio Roli, F. Roli, 1995, IEEE Trans. Geosci. Remote. Sens..

Partially supervised detection of changes from remote sensing images

Gabriele Moser, Sebastiano B. Serpico, Farid Melgani, 2002, IEEE International Geoscience and Remote Sensing Symposium.

Fusion of multitemporal and multiresolution remote sensing data and application to natural disasters

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Classifier fusion for multisensor image recognition

Sebastiano B. Serpico, Fabio Roli, Giorgio Giacinto, 2001, SPIE Remote Sensing.

Partially supervised classification of optical high spatial resolution images in urban environment using spectral and textural information

Sebastiano B. Serpico, Giorgia Macchiavello, Michaela De Martino, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

Fusion of multitemporal contextual information by neural networks for multisensor remote sensing image classification

Sebastiano B. Serpico, Farid Melgani, Gianni Vernazza, 2003, Integr. Comput. Aided Eng..

Joint Classification of Multiresolution and Multisensor Data Using a Multiscale Markov Mesh Model

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Multisensor data fusion by a region-based approach

Sebastiano B. Serpico, Gianni Vernazza, C. Dambra, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

SAR image recognition by integration of intensity and textural information

Daniele D. Giusto, Sebastiano B. Serpico, Silvana G. Dellepiane, 1991 .

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

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

Change detection with synthetic aperture radar images by Wilcoxon statistic likelihood ratio test

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2012, 2012 19th IEEE International Conference on Image Processing.

Classification of multi-sensor remote sensing images using an adaptive hierarchical Markovian model

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

A technique for feature selection in multiclass problems

Lorenzo Bruzzone, Sebastiano B. Serpico, L. Bruzzone, 2000 .

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..

Experimental Comparison of Registration Methods for Multisensor Sar-Optical Data

Gabriele Moser, Sebastiano B. Serpico, Florence Tupin, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

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.

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

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Multisensor and Multiresolution Remote Sensing Image Classification through a Causal Hierarchical Markov Framework and Decision Tree Ensembles

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2021, Remote. Sens..

Road Extraction and Road Width Estimation Via Fusion of Aerial Optical Imagery, Geospatial Data, and Street-Level Images

Gabriele Moser, Sebastiano B. Serpico, Vladimir A. Krylov, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Hierarchical Probabilistic Graphical Models and Deep Convolutional Neural Networks for Remote Sensing Image Classification

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Automatic Change Detection of Retinal Images

Jon Atli Benediktsson, Gabriele Moser, Sebastiano B. Serpico, 2009 .

Image fusion techniqes for remote sensing applications

Lorenzo Bruzzone, Sebastiano B. Serpico, Francesco Carlo Morabito, 2002 .

Land and Sea Surface Temperature Estimation by Support Vector Regression

Gabriele Moser, Sebastiano B. Serpico, 2009 .

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

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

A Framework for Region Characterization in Remote Sensing Images by Fractal—Based Approach

Sebastiano B. Serpico, Silvana G. Dellepiane, Gianni Vernazza, 1988 .

Three dimensional organ recognition by tomographic image analysis

Sebastiano B. Serpico, Silvana G. Dellepiane, G. Vernazza, 1987 .

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 .

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).

Automatic Feature Extraction from Planetary Images

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

A framework for processing and interpretation of three-dimensional signals from multislices

Sebastiano B. Serpico, Silvana G. Dellepiane, Gianni Vernazza, 1989 .