Publications

A comprehensive list of publication can be found on Google Scholar . Below is a list of selected publications.

• Dalsasso, E., Denis, L., & Tupin, F., “As if by magic: self-supervised training of deep despeckling networks with MERLIN”. Transactions on Geoscience and Remote Sensing (TGRS), 2022. Preprint, IEEE TGRS publication, open code and Python library.

• Dalsasso, E., Rambour, C., Trouvé, N., and Thome, N., “MERLIN-Seg: self-supervised despeckling for label-efficient semantic segmentation”. Computer Vision and Image Understanding, 2024. Have at look at the Preprint or the Elsevier publication.

• Porta, H., Dalsasso, E., Marcos, D., and Tuia, D., “Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation”. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025. Have a look at the Preprint.

• Dalsasso, E., Denis, L., Muzeau, M., & Tupin, F., “Self-supervised training strategies for SAR image despeckling with deep neural networks” 14th European Conference on Synthetic Aperture Radar (EUSAR), 2022. Preprint.

  The paper has been awarded the 2nd place of the best paper award of EUSAR conference.

• E. Dalsasso, L. Denis, and F. Tupin, “SAR2SAR: A Semi-Supervised Despeckling Algorithm for SAR Images” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 4321-4329, 2021, doi: 10.1109/JSTARS.2021.3071864. Preprint, IEEE JSTARS publication and open code

• Dalsasso, E., Meraoumia, I., Denis, L., & Tupin, F. (2021, July). Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 1081-1084). IEEE. Have a look at the preprint or at the IEEE IGARSS Proceedings.

  The paper has been awarded with the best paper award of IGARSS.