{"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/validating-hyperspectral-image-segmentation","title":"Validating Hyperspectral Image Segmentation","arxiv_id":"1811.03707","date":"2018-11-08","proceeding":null,"authors":["Jakub Nalepa","Michal Myller","Michal Kawulok"],"abstract":"Hyperspectral satellite imaging attracts enormous research attention in the\nremote sensing community, hence automated approaches for precise segmentation\nof such imagery are being rapidly developed. In this letter, we share our\nobservations on the strategy for validating hyperspectral image segmentation\nalgorithms currently followed in the literature, and show that it can lead to\nover-optimistic experimental insights. We introduce a new routine for\ngenerating segmentation benchmarks, and use it to elaborate ready-to-use\nhyperspectral training-test data partitions. They can be utilized for fair\nvalidation of new and existing algorithms without any training-test data\nleakage.","url_abs":"http://arxiv.org/abs/1811.03707v1","url_pdf":"http://arxiv.org/pdf/1811.03707v1.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":"validating-hyperspectral-image-segmentation","repo_url":"https://github.com/Oscared/thesis","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"hyperspectral-image-segmentation","task_name":"Hyperspectral Image Segmentation"},{"task_slug":"image-segmentation","task_name":"Image Segmentation"},{"task_slug":"segmentation","task_name":"Segmentation"},{"task_slug":"semantic-segmentation","task_name":"Semantic Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1811.03707","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}