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Laetitia Thirion-Lefevre
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Detection of Forest Fires through Deep Unsupervised Learning Modeling of Sentinel-1 Time Series
Grad-SLAM: Explaining Convolutional Autoencoders’ Latent Space of Satellite Image Time Series
FARMSAR: Fixing AgRicultural Mislabels Using Sentinel-1 Time Series and AutoencodeRs
EUSAR 2022: 14th European Conference on Synthetic Aperture Radar
Modelling of agricultural SAR Time Series using Convolutional Autoencoder for the extraction of harvesting practices of rice fields
LPS 2022: Living Planet Symposium
Beets or Cotton? Blind Extraction of Fine Agricultural Classes Using a Convolutional Autoencoder Applied to Temporal SAR Signatures
IGARSS 2021: International Geoscience and Remote Sensing Symposium
Convolutional Autoencoder for unsupervised representation learning of PolSAR Time-Series
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