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Author : de Martino, M.; Dellepiane, S.; Gemme, L.; Moser, G.; Serpico, S.B.; Toma, M.; Degano, C.; Loiaconi, A.; Mainenti, I.; Cusati, L.A.; Pedroncini, A.

Publisher: IEEE

Year: 2014

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Extraction of Spectral Channels From Hyperspectral Images for Classification Purposes

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

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

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

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

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

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

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

An automated flood detection framework for very high spatial resolution imagery

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

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Extraction of Spectral Channels From Hyperspectral Images for Classification Purposes

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

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

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

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

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

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

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

An automated flood detection framework for very high spatial resolution imagery

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