IEEE GRSS Symposium Prize Paper Award

Emanuele Dalsasso, Inès Meraoumia, Loïc Denis and Florence Tupin have received the 2021 IEEE GRSS Symposium Prize Paper Award during the latest IEEE IGARSS conference, for their paper "Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning" (IEEEXplore link, ArXiV version). According to the Geoscience and Remote Sensing Society (GRSS), "the GRSS Symposium Prize Paper Award was established to recognize the author(s) who presented at the IEEE International Geoscience and Remote Sensing Symposium (IGARSS) an exceptional paper in terms of content and impact on the geoscience and remote sensing community". Their paper was selected among the 2000+ papers presented at the conference. It describes an approach to extend deep neural networks trained for single-image despeckling in order to process multi-temporal stacks of radar images. This work is a product of a long-standing collaboration between Télécom Paris laboratory LTCI and the laboratoire Hubert Curien on the topic of synthetic aperture radar imaging.

Congratulations to the team!