Thomas Di Martino

According to our database, Thomas Di Martino authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Convolutional Autoencoder Applied to Short SAR Time Series for Under Canopy Object Detection.

Thomas Di Martino, Régis Guinvarc'h, Laetitia Thirion-Lefevre, Elise Colin

Proceedings of the IGARSS 2024, 2024

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, Elise Colin

ISPRS Int. J. Geo Inf., August, 2023

FARMSAR: Fixing AgRicultural Mislabels Using Sentinel-1 Time Series and AutoencodeRs.

Thomas Di Martino, Régis Guinvarc'h, Laetitia Thirion-Lefevre, Elise Colin Koeniguer

Remote. Sens., January, 2023

Grad-SLAM: Explaining Convolutional Autoencoders' Latent Space of Satellite Image Time Series.

Thomas Di Martino, Régis Guinvarc'h, Laetitia Thirion-Lefevre, Elise Colin

IEEE Geosci. Remote. Sens. Lett., 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, Elise Colin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

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, Elise Colin Koeniguer

IEEE Trans. Geosci. Remote. Sens., 2022

2021

Multi-Branch Deep Learning Model for Detection of Settlements Without Electricity.

Thomas Di Martino, Maxime Lenormand, Elise Colin Koeniguer

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Convolutional Autoencoder for Unsupervised Representation Learning of PolSAR Time-Series.

Thomas Di Martino, Régis Guinvarc'h, Laetitia Thirion-Lefevre, Elise Colin Koeniguer

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021