{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/despeckling-sentinel-1-grd-images-by-deep","title":"Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentation","arxiv_id":"2102.00692","date":"2021-02-01","proceeding":null,"authors":["Nicolas Gasnier","Emanuele Dalsasso","Loïc Denis","Florence Tupin"],"abstract":"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 network on collections of Sentinel 1 GRD images leads to a despeckling algorithm that is robust to space-variant spatial correlations of speckle. Despeckled images improve the detection of structures like narrow rivers. We apply a detector based on exogenous information and a linear features detector and show that rivers are better segmented when the processing chain is applied to images pre-processed by our despeckling neural network.","url_abs":"https://arxiv.org/abs/2102.00692v1","url_pdf":"https://arxiv.org/pdf/2102.00692v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"despeckling-sentinel-1-grd-images-by-deep","repo_url":"https://gitlab.telecom-paris.fr/RING/SAR2SAR","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"denoising","task_name":"Denoising"},{"task_slug":"image-denoising","task_name":"Image Denoising"},{"task_slug":"image-restoration","task_name":"Image Restoration"},{"task_slug":"sar-image-despeckling","task_name":"Sar Image Despeckling"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}