Weakly supervised building change detection integrating multi-scale feature fusion and spatial refinement for high resolution remote sensing images

被引：0
|
作者：
Yan, Xin [1 ,2 ]
Shen, Li [1 ,2 ]
Pan, Junjie [1 ,2 ]
Dai, Yanshuai [1 ,2 ]
Wang, Jicheng [3 ]
Zheng, Xiaoli [4 ]
Li, Zhi-Lin [1 ,2 ]
机构：
[1] State-Province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety, Southwest Jiaotong University, Chengdu,611756, China
[2] Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu,611756, China
[3] Key Laboratory of Ministry of Education on Land Resources Evaluation and Monitoring in Southwest China, Sichuan Normal University, Chengdu,610066, China
[4] Key Laboratory of Investigation, Monitoring, Protection and Utilization for Cultivated Land Resources, MNR, Sichuan Institute of Land Science and Technology, Sichuan Center of Satellite Application Technology), Chengdu,610045, China
来源：
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | 2024年 / 53卷 / 08期
关键词：
Compendex;
D O I：
10.11947/j.AGCS.2024.20230118
中图分类号：
学科分类号：
摘要：
Deep learning - Miocene - Self-supervised learning - Semi-supervised learning
引用
收藏
页码：1586 / 1597
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