Change Detection in Dual-Temporal Remote Sensing Data Based on a Lightweight Siamese Network with Effective Preprocessing
Author:
Affiliation:
1. Harbin Institute of Technology,School of Electronic Information Engineering,Harbin,China
2. Harbin Space Star Data System Technology Co., Ltd,Harbin,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642488.pdf?arnumber=10642488
Reference12 articles.
1. Interpretable Deep Learning Framework for Land Use and Land Cover Classification in Remote Sensing Using SHAP
2. Soil Moisture Mapping Along Climatic Gradient by Dual-Polarization Sentinel-1 C-Band Data
3. Convolution and Attention Mixer for Synthetic Aperture Radar Image Change Detection
4. Change Detection From Very-High-Spatial-Resolution Optical Remote Sensing Images: Methods, applications, and future directions
5. Sentinel-1 and Sentinel-2 Data Fusion for Urban Change Detection Using a Dual Stream U-Net
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