{"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-vegetation-pixel","title":"Spatio-Temporal Vegetation Pixel Classification By Using Convolutional Networks","arxiv_id":"1903.00774","date":"2019-03-02","proceeding":null,"authors":["Keiller Nogueira","Jefersson A. dos Santos","Nathalia Menini","Thiago S. F. Silva","Leonor Patricia C. Morellato","Ricardo da S. Torres"],"abstract":"Plant phenology studies rely on long-term monitoring of life cycles of\nplants. High-resolution unmanned aerial vehicles (UAVs) and near-surface\ntechnologies have been used for plant monitoring, demanding the creation of\nmethods capable of locating and identifying plant species through time and\nspace. However, this is a challenging task given the high volume of data, the\nconstant data missing from temporal dataset, the heterogeneity of temporal\nprofiles, the variety of plant visual patterns, and the unclear definition of\nindividuals' boundaries in plant communities. In this letter, we propose a\nnovel method, suitable for phenological monitoring, based on Convolutional\nNetworks (ConvNets) to perform spatio-temporal vegetation pixel-classification\non high resolution images. We conducted a systematic evaluation using\nhigh-resolution vegetation image datasets associated with the Brazilian Cerrado\nbiome. Experimental results show that the proposed approach is effective,\novercoming other spatio-temporal pixel-classification strategies.","url_abs":"http://arxiv.org/abs/1903.00774v1","url_pdf":"http://arxiv.org/pdf/1903.00774v1.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-vegetation-pixel","repo_url":"https://github.com/keillernogueira/spatio-temporal-phenological-segmentation","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}