{"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/sar-image-despeckling-using-a-convolutional","title":"SAR Image Despeckling Using a Convolutional Neural Network","arxiv_id":"1706.00552","date":"2017-06-02","proceeding":null,"authors":["Puyang Wang","He Zhang","Vishal M. Patel"],"abstract":"Synthetic Aperture Radar (SAR) images are often contaminated by a\nmultiplicative noise known as speckle. Speckle makes the processing and\ninterpretation of SAR images difficult. We propose a deep learning-based\napproach called, Image Despeckling Convolutional Neural Network (ID-CNN), for\nautomatically removing speckle from the input noisy images. In particular,\nID-CNN uses a set of convolutional layers along with batch normalization and\nrectified linear unit (ReLU) activation function and a component-wise division\nresidual layer to estimate speckle and it is trained in an end-to-end fashion\nusing a combination of Euclidean loss and Total Variation (TV) loss. Extensive\nexperiments on synthetic and real SAR images show that the proposed method\nachieves significant improvements over the state-of-the-art speckle reduction\nmethods.","url_abs":"http://arxiv.org/abs/1706.00552v2","url_pdf":"http://arxiv.org/pdf/1706.00552v2.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":"sar-image-despeckling-using-a-convolutional","repo_url":"https://github.com/XwK-P/ID-CNN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"sar-image-despeckling-using-a-convolutional","repo_url":"https://github.com/tonzowonzo/SAR_utils","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"sar-image-despeckling-using-a-convolutional","repo_url":"https://github.com/javid-norouzi/SAR-Image-Despeckling-Using-CNN-","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"sar-image-despeckling","task_name":"Sar Image Despeckling"}],"methods":[{"method_slug":"batch-normalization","method_name":"Batch Normalization"}],"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}