, pnts ), grant n o PNTS-2018-5, as well as from the financial contribution from the French Ministry of agriculture "Agricultural and Rural Development
,
Remote sensing and cropping practices: A review, Remote Sensing, vol.10, issue.1, p.99, 2018. ,
Mapping damage-affected areas after natural hazard events using sentinel-1 coherence time series, Remote Sensing, vol.10, issue.8, p.1272, 2018. ,
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Dynamic monitoring of wetland cover changes using time-series remote sensing imagery, Ecological Informatics, vol.24, pp.17-26, 2014. ,
Object-oriented satellite image time series analysis using a graph-based representation, Ecological Informatics, vol.43, pp.52-64, 2018. ,
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A graph-based approach to detect spatiotemporal dynamics in satellite image time series, ISPRS Journal of Photogrammetry and Remote Sensing, vol.130, pp.92-107, 2017. ,
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A remote sensing approach for regional-scale mapping of agricultural land-use systems based on NDVI time series, Remote Sensing, vol.9, issue.6, p.28, 2017. ,
Operational high resolution land cover map production at the country scale using satellite image time series, Remote Sensing, vol.9, issue.1, p.95, 2017. ,
Deep learning classification of land cover and crop types using remote sensing data, IEEE Geosci. Remote Sensing Lett, vol.14, issue.5, pp.778-782, 2017. ,
Comparative analysis of modis time-series classification using support vector machines and methods based upon distance and similarity measures in the brazilian cerrado-caatinga boundary, Remote Sensing, vol.7, issue.9, pp.12160-12191, 2015. ,
Analysis of multitemporal classification techniques for forecasting image time series, IEEE Geosci. Remote Sensing Lett, vol.12, issue.5, pp.953-957, 2015. ,
Classification and monitoring of reed belts using dual-polarimetric terrasar-x time series, Remote Sensing, vol.8, issue.7 ,
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Representation learning: A review and new perspectives, IEEE TPAMI, vol.35, issue.8, pp.1798-1828, 2013. ,
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Land cover classification via multitemporal spatial data by deep recurrent neural networks, IEEE GRSL, vol.14, issue.10, pp.1685-1689, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01931486
Learning a transferable change rule from a recurrent neural network for land cover change detection, Remote Sensing, vol.8, issue.6 ,
M3fusion: A deep learning architecture for multi-{Scale/Modal/Temporal} satellite data fusion ,
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Assessing the ability of lstms to learn syntax-sensitive dependencies, TACL, vol.4, pp.521-535, 2016. ,
Conditional image generation with pixelcnn decoders, pp.4790-4798, 2016. ,
Deep recurrent neural networks for winter vegetation quality mapping via multitemporal SAR sentinel-1, IEEE Geosci. Remote Sensing Lett, vol.15, issue.3, pp.464-468, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01931485
Deep recurrent neural network for agricultural classification using multitemporal SAR sentinel-1 for camargue, france, Remote Sensing, vol.10, issue.8, p.1217, 2018. ,
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Deep recurrent neural networks for winter vegetation quality mapping via multitemporal sar sentinel-1, IEEE GRSL Preprint, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01931485
Learning phrase representations using RNN encoder-decoder for statistical machine translation, pp.1724-1734, 2014. ,
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URL : https://hal.archives-ouvertes.fr/hal-01433235
Deep recurrent neural networks for hyperspectral image classification, IEEE TGRS, vol.55, issue.7, pp.3639-3655, 2017. ,
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Efficient attention using a fixed-size memory representation, pp.392-400, 2017. ,
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Mrfusion: A deep learning architecture to fuse pan and ms imagery for land cover mapping ,
Dualnet: Learn complementary features for image recognition, IEEE ICCV, pp.502-510, 2017. ,
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A Multi-Temporal and Multi-Spectral Method to Estimate Aerosol Optical Thickness over Land, for the Atmospheric Correction of FormoSat-2, LandSat, VENµS and Sentinel-2 Images, Remote Sensing, vol.7, issue.3, p.31, 2015. ,
A combined random forest and OBIA classification scheme for mapping smallholder agriculture at different nomenclature levels using multisource data (simulated sentinel-2 time series, VHRS and DEM), vol.9, p.259, 2017. ,
Adam: A method for stochastic optimization ,
Mrfusion: A deep learning architecture to fuse PAN and MS imagery for land cover mapping ,