TDFNet:twice decoding V-Mamba-CNN Fusion features for building extractionOA
TDFNet:twice decoding V-Mamba-CNN Fusion features for building extraction
Wenlong Wang;Peng Yu;Mengmeng Li;Xiaojing Zhong;Yuanrong He;Hua Su;Yunxuan Zhou
College of Computer and Information Engineering,Xiamen University of Technology,Xiamen,ChinaCollege of Computer and Information Engineering,Xiamen University of Technology,Xiamen,ChinaKey Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education,The Academy of Digital China,Fuzhou University,Fuzhou,ChinaCollege of Harbour and Coastal Engineering,Jimei University/Xiamen Key Laboratory of Green and Smart Coastal Engineering,Xiamen,ChinaCollege of Computer and Information Engineering,Xiamen University of Technology,Xiamen,ChinaKey Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education,The Academy of Digital China,Fuzhou University,Fuzhou,ChinaState Key Laboratory of Estuarine and Coastal Research,East China Normal University,Shanghai,China
Building extractionV-Mambaremote sensingtwice decoding
Building extractionV-Mambaremote sensingtwice decoding
《地球空间信息科学学报（英文版）》 2026 (1)
中插1,19-38,21
This work was supported by the Open Research Fund of State Key Laboratory of Estuarine and Coastal Research[grant number SKLEC-KF202411],the Fujian Provincial Natural Science Foundation[grant number 2022J05156],the Fujian Province Social Science Plan Project[grant num-ber FJ2024BF071],the National Natural Science Foundation of China[grant number 42471378]and the Fujian Province Housing and Urban-Rural Development Industry Science and Technology Plan Project[grant number 2023-K-27].
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