SAR Image Feature Selection and Change Detection Based on Sparse Coefficient Correlation
Author:
Affiliation:
1. Xi'an University of Science and Technology,Xi'an Key Laboratory of Heterogeneous Network Convergence Communication,Xian,China,710054
2. Xidian University,National Laboratory of Radar Signal Processing,Xian,China,710071
Funder
Natural Science Foundation of China
Scientific Research Plan Projects of Shaanxi Education Department
China Postdoctoral Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10004205/10004219/10004246.pdf?arnumber=10004246
Reference11 articles.
1. Image Fusion of Spectrally Nonoverlapping Imagery Using SPCA and MTF-Based Filters
2. Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold
3. Sparse Low-Rank Component-Based Representation for Face Recognition With Low-Quality Images
4. A Dictionary-Based SAR RFI Suppression Method via Robust PCA and Chirp Scaling Algorithm
5. A Novel Framework Based on Polarimetric Change Vectors for Unsupervised Multiclass Change Detection in Dual-Pol Intensity SAR Images
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