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SIDEST: A sample-free framework for crop field boundary delineation by integrating super-resolution image reconstruction and dual edge-corrected Segment Anything model

Haoran Sun, Zhijian Wei, Weiguo Yu, Gaoxiang Yang, Junnan She, Hengbiao Zheng, Chongya Jiang, Xia Yao, Yan Zhu, Weixing Cao, Tao Cheng, Iftikhar Ali

2025Computers and Electronics in Agriculture13 citationsDOI

Topics & Concepts

Sample (material)Enhanced Data Rates for GSM EvolutionArtificial intelligenceComputer visionDual (grammatical number)Boundary (topology)Field (mathematics)Image (mathematics)Computer scienceMathematicsPhysicsMathematical analysisLiteratureArtThermodynamicsPure mathematicsRemote Sensing in AgricultureAdvanced Image Processing TechniquesSmart Agriculture and AI
SIDEST: A sample-free framework for crop field boundary delineation by integrating super-resolution image reconstruction and dual edge-corrected Segment Anything model | Litcius