{"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/urban-change-detection-for-multispectral","title":"Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks","arxiv_id":"1810.08468","date":"2018-10-19","proceeding":null,"authors":["Rodrigo Caye Daudt","Bertrand Le Saux","Alexandre Boulch","Yann Gousseau"],"abstract":"The Copernicus Sentinel-2 program now provides multispectral images at a\nglobal scale with a high revisit rate. In this paper we explore the usage of\nconvolutional neural networks for urban change detection using such\nmultispectral images. We first present the new change detection dataset that\nwas used for training the proposed networks, which will be openly available to\nserve as a benchmark. The Onera Satellite Change Detection (OSCD) dataset is\ncomposed of pairs of multispectral aerial images, and the changes were manually\nannotated at pixel level. We then propose two architectures to detect changes,\nSiamese and Early Fusion, and compare the impact of using different numbers of\nspectral channels as inputs. These architectures are trained from scratch using\nthe provided dataset.","url_abs":"http://arxiv.org/abs/1810.08468v1","url_pdf":"http://arxiv.org/pdf/1810.08468v1.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":"urban-change-detection-for-multispectral","repo_url":"https://github.com/rcdaudt/patch_based_change_detection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"change-detection","task_name":"Change Detection"},{"task_slug":"earth-observation","task_name":"Earth Observation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1810.08468","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}