Thomas Di Martino

Latest

• 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
• Extracting relevance from SAR temporal profiles on a glacier and an alpine watershed by a deep autoencoder
• ISPRS CONGRESS 2022: International Society for Photogrammetry and Remote Sensing
• LPS 2022: Living Planet Symposium
• Beets or Cotton? Blind Extraction of Fine Agricultural Classes Using a Convolutional Autoencoder Applied to Temporal SAR Signatures
• Multi-branch Deep Learning model for detection of settlements without electricity
• IGARSS 2021: International Geoscience and Remote Sensing Symposium
• Convolutional Autoencoder for unsupervised representation learning of PolSAR Time-Series