{"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/targeted-change-detection-in-remote-sensing","title":"Targeted change detection in remote sensing images","arxiv_id":"1803.05482","date":"2018-03-14","proceeding":null,"authors":["Vladimir Ignatiev","Alexey Trekin","Viktor Lobachev","Georgy Potapov","Evgeny Burnaev"],"abstract":"Recent developments in the remote sensing systems and image processing made\nit possible to propose a new method of the object classification and detection\nof the specific changes in the series of satellite Earth images (so called\ntargeted change detection). In this paper we propose a formal problem statement\nthat allows to use effectively the deep learning approach to analyze\ntime-dependent series of remote sensing images. We also introduce a new\nframework for the development of deep learning models for targeted change\ndetection and demonstrate some cases of business applications it can be used\nfor.","url_abs":"http://arxiv.org/abs/1803.05482v1","url_pdf":"http://arxiv.org/pdf/1803.05482v1.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":[],"tasks":[{"task_slug":"change-detection","task_name":"Change Detection"},{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[{"slug":"cdnet","name":"CDNET","full_name":"Change Detection"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}