A Multiview SAR Target Recognition Method Using Inner Correlation Analysis

Author:

Lei Lei1ORCID,Guo Dongen1ORCID,Feng Zhihui2

Affiliation:

1. School of Computer and Software, Nanyang Institute of Technology, Nanyang 473000, China

2. College of Information and Management Science, Henan Agricultural University, Zhengzhou 450002, China

Abstract

This paper proposes a synthetic aperture radar (SAR) image target recognition method using multiple views and inner correlation analysis. Due to the azimuth sensitivity of SAR images, the inner correlation between multiview images participating in recognition is not stable enough. To this end, the proposed method first clusters multiview SAR images based on image correlation and nonlinear correlation information entropy (NCIE) in order to obtain multiple view sets with strong internal correlations. For each view set, the multitask sparse representation is used to reconstruct the SAR images in it to obtain high-precision reconstructions. Finally, the linear weighting method is used to fuse the reconstruction errors from different view sets and the target category is determined according to the fusion error. In the experiment, the tests are conducted based on the MSTAR dataset, and the results validate the effectiveness of the proposed method.

Funder

Special Research and Development and Promotion Project of Henan Province

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. SAR Target Recognition via Monogenic Signal and Gaussian Process Model;Mathematical Problems in Engineering;2022-09-13

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