{"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/spatio-temporal-crop-classification-of-low","title":"Spatio-temporal crop classification of low-resolution satellite imagery with capsule layers and distributed attention","arxiv_id":"1904.10130","date":"2019-04-23","proceeding":null,"authors":["John Brandt"],"abstract":"Land use classification of low resolution spatial imagery is one of the most\nextensively researched fields in remote sensing. Despite significant\nadvancements in satellite technology, high resolution imagery lacks global\ncoverage and can be prohibitively expensive to procure for extended time\nperiods. Accurately classifying land use change without high resolution imagery\noffers the potential to monitor vital aspects of global development agenda\nincluding climate smart agriculture, drought resistant crops, and sustainable\nland management. Utilizing a combination of capsule layers and long-short term\nmemory layers with distributed attention, the present paper achieves\nstate-of-the-art accuracy on temporal crop type classification at a 30x30m\nresolution with Sentinel 2 imagery.","url_abs":"http://arxiv.org/abs/1904.10130v1","url_pdf":"http://arxiv.org/pdf/1904.10130v1.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":"spatio-temporal-crop-classification-of-low","repo_url":"https://github.com/JohnMBrandt/capsule-attention-networks","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"crop-classification","task_name":"Crop Classification"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"management","task_name":"Management"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1904.10130","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}