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ORCIDJosiane Zerubia
- > Home > Persons > Josiane Zerubia
Publications
- 2023
[c171]Martina Pastorino
, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Classification of Multimission SAR Images Based on Probabilistic Graphical Models and Convolutional Neural Networks. IGARSS 2023: 1420-1423- [c169]Martina Pastorino, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Learning CRF potentials through fully convolutional networks for satellite image semantic segmentation. SITIS 2023: 93-98 - 2022
- [j61]Martina Pastorino, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Semantic Segmentation of Remote-Sensing Images Through Fully Convolutional Neural Networks and Hierarchical Probabilistic Graphical Models. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [c167]Martina Pastorino, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Fully Convolutional and Feedforward Networks for The Semantic Segmentation of Remotely Sensed Images. ICIP 2022: 1876-1880 - [c165]Martina Pastorino, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Semantic Segmentation of SAR Images Through Fully Convolutional Networks and Hierarchical Probabilistic Graphical Models. IGARSS 2022: 1047-1050 - 2021
- [j60]Martina Pastorino, Alessandro Montaldo, Luca Fronda, Ihsen Hedhli, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Multisensor and Multiresolution Remote Sensing Image Classification through a Causal Hierarchical Markov Framework and Decision Tree Ensembles. Remote. Sens. 13(5): 849 (2021) - [c162]Martina Pastorino, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Hierarchical Probabilistic Graphical Models and Deep Convolutional Neural Networks for Remote Sensing Image Classification. EUSIPCO 2021: 1740-1744 - [c161]Martina Pastorino, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Semantic Segmentation of Remote Sensing Images Combining Hierarchical Probabilistic Graphical Models and Deep Convolutional Neural Networks. IGARSS 2021: 8672-8675 - 2019
- [c157]Alessandro Montaldo, Luca Fronda, Ihsen Hedhli, Gabriele Moser, Sebastiano Bruno Serpico, Josiane Zerubia:
Causal Markov Mesh Hierarchical Modeling for the Contextual Classification of Multiresolution Satellite Images. ICIP 2019: 2716-2720 - [c156]Alessandro Montaldo, Luca Fronda, Ihsen Hedhli, Gabriele Moser, Josiane Zerubia, Sebastiano B. Serpico:
Joint Classification of Multiresolution and Multisensor Data Using a Multiscale Markov Mesh Model. IGARSS 2019: 2810-2813 - 2017
- [j59]Ihsen Hedhli, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Classification of Multisensor and Multiresolution Remote Sensing Images Through Hierarchical Markov Random Fields. IEEE Geosci. Remote. Sens. Lett. 14(12): 2448-2452 (2017) - [c154]Ihsen Hedhli, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Multi-resolution classification of urban areas using hierarchical symmetric Markov mesh models. JURSE 2017: 1-4 - [i4]Josiane Zerubia, Sebastiano B. Serpico, Gabriele Moser:
Natural Disaster Monitoring: Multi-Source Image Analysis with Hierarchical Markov Models. ERCIM News 2017(108) (2017) - 2016
- [j57]Ihsen Hedhli, Gabriele Moser, Josiane Zerubia, Sebastiano Bruno Serpico:
A New Cascade Model for the Hierarchical Joint Classification of Multitemporal and Multiresolution Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 54(11): 6333-6348 (2016) - [j56]Vladimir A. Krylov, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
False Discovery Rate Approach to Unsupervised Image Change Detection. IEEE Trans. Image Process. 25(10): 4704-4718 (2016) - [c151]Ihsen Hedhli, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Contextual multi-scale image classification on quadtree. ICIP 2016: 1349-1353 - 2015
- [c150]Ihsen Hedhli, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
New hierarchical joint classification method for SAR-optical multiresolution remote sensing data. EUSIPCO 2015: 759-763 - [c147]Ihsen Hedhli, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
New cascade model for hierarchical joint classification of multisensor and multiresolution remote sensing data. IGARSS 2015: 1543-1546 - 2014
- [j55]Aurélie Voisin, Vladimir A. Krylov, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Supervised Classification of Multisensor and Multiresolution Remote Sensing Images With a Hierarchical Copula-Based Approach. IEEE Trans. Geosci. Remote. Sens. 52(6): 3346-3358 (2014) - [c142]Ihsen Hedhli, Gabriele Moser, Josiane Zerubia, Sebastiano B. Serpico:
New cascade model for hierarchical joint classification of multitemporal, multiresolution and multisensor remote sensing data. ICIP 2014: 5247-5251 - [c140]Ihsen Hedhli, Gabriele Moser, Josiane Zerubia, Sebastiano Bruno Serpico:
Fusion of multitemporal and multiresolution remote sensing data and application to natural disasters. IGARSS 2014: 207-210 - 2013
- [j54]Aurélie Voisin, Vladimir A. Krylov, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Classification of Very High Resolution SAR Images of Urban Areas Using Copulas and Texture in a Hierarchical Markov Random Field Model. IEEE Geosci. Remote. Sens. Lett. 10(1): 96-100 (2013) - [j52]Vladimir A. Krylov, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation. IEEE Trans. Image Process. 22(10): 3791-3806 (2013) - [c134]Vladimir A. Krylov, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
False discovery rate approach to image change detection. ICIP 2013: 3820-3824 - 2012
- [c132]Aurélie Voisin, Vladimir A. Krylov, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Multichannel hierarchical image classification using multivariate copulas. Computational Imaging 2012: 82960K - [c131]Aurélie Voisin, Vladimir A. Krylov, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Classification of multi-sensor remote sensing images using an adaptive hierarchical Markovian model. EUSIPCO 2012: 2511-2515 - [c130]Vladimir A. Krylov, Gabriele Moser, Aurélie Voisin, Sebastiano B. Serpico, Josiane Zerubia:
Change detection with synthetic aperture radar images by Wilcoxon statistic likelihood ratio test. ICIP 2012: 2093-2096 - [c128]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, Michaela De Martino, Marco Diani, Vladimir A. Krylov, Gianni Lisini, Carlo Marin, Gabriele Moser, Aurélie Voisin, Claudia Zoppetti:
Development and validation of multitemporal image analysis methodologies for multirisk monitoring of critical structures and infrastructures. IGARSS 2012: 5506-5509 - 2011
- [j48]Vladimir A. Krylov, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Supervised High-Resolution Dual-Polarization SAR Image Classification by Finite Mixtures and Copulas. IEEE J. Sel. Top. Signal Process. 5(3): 554-566 (2011) - [j47]Vladimir A. Krylov, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Enhanced Dictionary-Based SAR Amplitude Distribution Estimation and Its Validation With Very High-Resolution Data. IEEE Geosci. Remote. Sens. Lett. 8(1): 148-152 (2011) - 2010
- [c115]Gabriele Moser, Vladimir A. Krylov, Sebastiano B. Serpico, Josiane Zerubia:
High resolution SAR-image classification by Markov random fields and finite mixtures. Computational Imaging 2010: 753308 - 2009
- [c110]Vladimir A. Krylov, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Dictionary-based probability density function estimation for high-resolution SAR data. Computational Imaging 2009: 72460 - 2006
- [j34]Gabriele Moser, Josiane Zerubia, Sebastiano B. Serpico:
Dictionary-based stochastic expectation-maximization for SAR amplitude probability density function estimation. IEEE Trans. Geosci. Remote. Sens. 44(1): 188-200 (2006) - [j33]Gabriele Moser, Josiane Zerubia, Sebastiano B. Serpico:
SAR amplitude probability density function estimation based on a generalized Gaussian model. IEEE Trans. Image Process. 15(6): 1429-1442 (2006) - 2004
- [c55]Gabriele Moser, Josiane Zerubia, Sebastiano B. Serpico:
Finite mixture models and stochastic expectation-maximization for SAR amplitude probability density function estimation based on a dictionary of parametric families. IGARSS 2004: 1510-1513
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