Multiview synthetic aperture radar target recognition method using joint sparse representation and random weight matrix
Author:
Affiliation:
1. Hunan International Economics University, School of Information and Mechanical Engineering, Changsha, China
2. National University of Defense Technology, Changsha, China
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
Reference56 articles.
1. Automatic Target Recognition in Synthetic Aperture Radar Imagery: A State-of-the-Art Review
2. Performance of 10- and 20-target MSE classifiers
3. Moving and stationary target acquisition and recognition (MSTAR) model-based automatic target recognition: search technology for a robust ATR
4. Automatic target recognition of synthetic aperture radar (SAR) images based on optimal selection of Zernike moments features
5. Sparse coding of 2D-slice Zernike moments for SAR ATR
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