Multi-Resolution Selection of SAR Images and Target Recognition Based on Nonlinear Correlation Information Entropy

被引：1
作者：
He Jie [1 ]
Chen Xin [1 ]
机构：
[1] Chongqing Univ Post & Telecommun, Coll Mobile Telecommun, Chongqing 401520, Peoples R China
来源：
LASER & OPTOELECTRONICS PROGRESS | 2020年 / 57卷 / 22期
关键词：
image processing; synthetic aperture radar; target recognition; multi-resolution representation; nonlinear correlation information entropy; joint sparse representation; ATR;
D O I：
10.3788/LOP57.221020
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A method to combine nonlinear correlation information entropy (NCIE) and multi-resolution representation is proposed for synthetic aperture radar (SAR) target recognition. NCIE is employed to select the multi-resolution representation of an original SAR image, and several resolutions with strong intrinsic correlation are obtained. Then, the joint sparse representation is used to characterize and classify the selected multi-resolution samples simultaneously. Experiments are conducted in which various operating conditions are employed to test the different methods based on the MSTAR dataset. The experimental results demonstrate the validity of the proposed method.
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页数：8
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