LiST-Net: Enhanced Flood Mapping With Lightweight SAR Transformer Network and Dimension-Wise Attention
Author:
Affiliation:
1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China
2. Geomatics Engineering Department, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Natural Science Foundation of Hubei Province
Key Research and Development Project of Jinzhong City
Chutian Scholar Program of Hubei Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10521627.pdf?arnumber=10521627
Reference59 articles.
1. An Integrated Assessment of Climate Change Impacts and Implications on Bonaire
2. Building Change Detection in Multitemporal Very High Resolution SAR Images
3. BDD-Net+: A Building Damage Detection Framework Based on Modified Coat-Net
4. Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding
5. Deformable Dictionary Learning for SAR Image Change Detection
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