most citedDespeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentation

9 citations · 10 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023★ 1 cited

Radar Fields: An Extension of Radiance Fields to SAR

Thibaud Ehret, Roger Marí, Dawa Derksen +2

Radiance fields have been a major breakthrough in the field of inverse rendering, novel view synthesis and 3D modeling of complex scenes from multi-view image collections. Since th…

eess.IV2021★ 9 cited

Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentation

Nicolas Gasnier, Emanuele Dalsasso, Loïc Denis +1

This paper presents a despeckling method for Sentinel-1 GRD images based on the recently proposed framework "SAR2SAR": a self-supervised training strategy. Training the deep neural…