Landslide Mapping Using Multilevel-Feature-Enhancement Change Detection Network

Author:

Wang Lukang1ORCID,Zhang Min2ORCID,Shen Xiaoqi1ORCID,Shi Wenzhong2ORCID

Affiliation:

1. School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou, China

2. Smart Cities Research Institute and the Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong

Funder

Otto Poon Charitable Foundation Smart Cities Research Institute

Hong Kong Polytechnic University

Ministry of Science and Technology

People's Republic of China

Beijing Key Laboratory of Urban Spatial Information Engineering

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. GDSNet: A gated dual-stream convolutional neural network for automatic recognition of coseismic landslides;International Journal of Applied Earth Observation and Geoinformation;2024-03

2. STCRNet: A Semi-Supervised Network Based on Self-Training and Consistency Regularization for Change Detection in VHR Remote Sensing Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

3. FDA-FFNet: A Feature-Distance Attention-Based Change Detection Network for Remote Sensing Image;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

4. A task decoupled framework for enhancing the deep learning-based spatiotemporal fusion method;International Journal of Remote Sensing;2023-07-03

5. CS-WSCDNet: Class Activation Mapping and Segment Anything Model-Based Framework for Weakly Supervised Change Detection;IEEE Transactions on Geoscience and Remote Sensing;2023

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