{"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/nighttime-skycloud-image-segmentation","title":"Nighttime sky/cloud image segmentation","arxiv_id":"1705.10583","date":"2017-05-30","proceeding":null,"authors":["Soumyabrata Dev","Florian M. Savoy","Yee Hui Lee","Stefan Winkler"],"abstract":"Imaging the atmosphere using ground-based sky cameras is a popular approach\nto study various atmospheric phenomena. However, it usually focuses on the\ndaytime. Nighttime sky/cloud images are darker and noisier, and thus harder to\nanalyze. An accurate segmentation of sky/cloud images is already challenging\nbecause of the clouds' non-rigid structure and size, and the lower and less\nstable illumination of the night sky increases the difficulty. Nonetheless,\nnighttime cloud imaging is essential in certain applications, such as\ncontinuous weather analysis and satellite communication.\n  In this paper, we propose a superpixel-based method to segment nighttime\nsky/cloud images. We also release the first nighttime sky/cloud image\nsegmentation database to the research community. The experimental results show\nthe efficacy of our proposed algorithm for nighttime images.","url_abs":"http://arxiv.org/abs/1705.10583v1","url_pdf":"http://arxiv.org/pdf/1705.10583v1.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":"nighttime-skycloud-image-segmentation","repo_url":"https://github.com/Soumyabrata/nighttime-imaging","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"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":[{"slug":"swinseg","name":"SWINSEG","full_name":"Singapore Whole sky Nighttime Image SEGmentation Database"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}