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Detection of Forest Fires through Deep Unsupervised Learning Modeling of Sentinel-1 Time Series
Thomas Di Martino
,
Bertrand Le Saux
,
Régis Guinvarc’h
,
Laetitia Thirion-Lefevre
,
Elise Colin
Article dans une revue
hal-04215824v1
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Beets or Cotton? Blind Extraction of Fine Agricultural Classes Using a Convolutional Autoencoder Applied to Temporal SAR Signatures
Thomas Di Martino
,
Regis Guinvarc'H
,
Laetitia Thirion-Lefevre
,
Elise Colin Koeniguer
Article dans une revue
hal-03534633v1
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Deep Temporal Convolutional Autoencoder for Unsupervised Representation Learning of Incoherent Polsar Time-Series
Thomas Di Martino
,
Regis Guinvarc'H
,
Laetitia Thirion-Lefevre
,
Elise Koeniguer
IGARSS 2021, Jul 2021, Bruxelles (virtual), Belgium
Communication dans un congrès
hal-03345533v1
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EXTRACTING RELEVANCE FROM SAR TEMPORAL PROFILES ON A GLACIER AND AN ALPINE WATERSHED BY A DEEP AUTOENCODER
L. Charrier
,
T. Di Martino
,
E. Colin Koeniguer
,
F. Weissgerber
,
A. Plyer
Article dans une revue
hal-03765708v1
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FARMSAR: Fixing AgRicultural Mislabels Using Sentinel-1 Time Series and AutoencodeRs
Thomas Di Martino
,
Régis Guinvarc’h
,
Laetitia Thirion-Lefevre
,
Elise Colin
Article dans une revue
hal-03944485v1
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MULTI-BRANCH DEEP LEARNING MODEL FOR DETECTION OF SETTLEMENTS WITHOUT ELECTRICITY
Thomas Di Martino
,
Maxime Lenormand
,
Elise Colin Koeniguer
IGARSS 2021, Jul 2021, BRUXELLES, Belgium
Communication dans un congrès
hal-03340290v1
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Grad-SLAM: Explaining Convolutional Autoencoders’ Latent Space of Satellite Image Time Series
Thomas Di Martino
,
Régis Guinvarc’h
,
Laetitia Thirion-Lefevre
,
Élise Colin
Article dans une revue
hal-04215828v1
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