Detector-Free Feature Matching for Optical and SAR Images Based on a Two-Step Strategy
Author:
Affiliation:
1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
2. National Key Laboratory of Microwave Imaging and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Funder
Key Research Program of Frontier Sciences, Chinese Academy of Sciences
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/36/10354519/10549529.pdf?arnumber=10549529
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1. Recent Developments in Parallel and Distributed Computing for Remotely Sensed Big Data Processing
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3. Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion
4. Fourier domain structural relationship analysis for unsupervised multimodal change detection
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