Fine-grained identification of tea plantation parcels in UAV remote sensing images based on DVIT-UNet.
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| Title: | Fine-grained identification of tea plantation parcels in UAV remote sensing images based on DVIT-UNet. |
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| Authors: | Liu Y; Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan, China., Xiao P; Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China., Zhou Y; Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan, China., Li D; College of Applied Technology, Hunan Open University, Changsha, China., Gao B; College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China. |
| Source: | PloS one [PLoS One] 2026 Mar 31; Vol. 21 (3), pp. e0345760. Date of Electronic Publication: 2026 Mar 31 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0345760 |
