Publications
Peer-reviewed work spanning production-oriented sequential user modeling and earlier research in deep learning for satellite SAR time series.
Industry machine learning
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2026
Abacus: Self-Supervised Event Counting-Aligned Distributional Pretraining for Sequential User Modeling
Sullivan Castro, Artem Betlei, Thomas Di Martino, Nadir El Manouzi
ACM Web Search and Data Mining (WSDM), pp. 1083–1088
Deep learning and Earth observation
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2024
Convolutional Autoencoder Applied to Short SAR Time Series for Under Canopy Object Detection
Thomas Di Martino, Régis Guinvarc'h, Laetitia Thirion-Lefevre, Élise Colin
IEEE IGARSS, pp. 2785–2788
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2024
Unsupervised Deep Learning for Vegetation Monitoring Using C-Band SAR Time Series: From Agriculture to Boreal Forests
Thomas Di Martino
PhD thesis, Université Paris-Saclay
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2023
Towards the Understanding of the C-Band Temporal Signature of Boreal Forest Through Physiology Parameters Retrieval from Sentinel-1 Time Series and Machine Learning
Thomas Di Martino, Régis Guinvarc'h, Laetitia Thirion-Lefevre, Élise Colin
IEEE IGARSS, pp. 5551–5554
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2023
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, Élise Colin
ISPRS International Journal of Geo-Information, 12(8), 332
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2023
Grad-SLAM: Explaining Convolutional Autoencoders' Latent Space of Satellite Image Time Series
Thomas Di Martino, Régis Guinvarc'h, Laetitia Thirion-Lefevre, Élise Colin
IEEE Geoscience and Remote Sensing Letters
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2022
FARMSAR: Fixing Agricultural Mislabels Using Sentinel-1 Time Series and Autoencoders
Thomas Di Martino, Régis Guinvarc'h, Laetitia Thirion-Lefevre, Élise Colin
Remote Sensing, 15(1), 35
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2022
Modelling of Agricultural SAR Time Series Using Convolutional Autoencoder for the Extraction of Harvesting Practices of Rice Fields
Thomas Di Martino, Élise Colin, Laetitia Thirion-Lefevre, Régis Guinvarc'h
14th European Conference on Synthetic Aperture Radar (EUSAR)
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2022
Extracting Relevance from SAR Temporal Profiles on a Glacier and an Alpine Watershed by a Deep Autoencoder
Laurane Charrier, Thomas Di Martino, Élise Colin Koeniguer, Flora Weissgerber, Aurélien Plyer
International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, 1309–1316
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2021
Beets or Cotton? Blind Extraction of Fine Agricultural Classes Using a Convolutional Autoencoder Applied to Temporal SAR Signatures
Thomas Di Martino, Régis Guinvarc'h, Laetitia Thirion-Lefevre, Élise Colin Koeniguer
IEEE Transactions on Geoscience and Remote Sensing
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2021
Convolutional Autoencoder for Unsupervised Representation Learning of PolSAR Time-Series
Thomas Di Martino, Régis Guinvarc'h, Laetitia Thirion-Lefevre, Élise Colin Koeniguer
IEEE IGARSS
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2021
Multi-Branch Deep Learning Model for Detection of Settlements Without Electricity
Thomas Di Martino, Maxime Lenormand, Élise Colin Koeniguer
IEEE IGARSS
Earlier work
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2020
REACTIV Algorithm
Thomas Di Martino, Élise Colin-Koeniguer, Régis Guinvarc'h, Laetitia Thirion-Lefevre
Sentinel Hub Custom Script Competition
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2020
Multimodal Similarity Learning for Duplicate Product Identification
Thomas Di Martino
MSc thesis, Heriot-Watt University