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Open AccessArticle

A Vehicle Target Recognition Algorithm for Wide-Angle SAR Based on Joint Feature Set Matching

by Rongchun Hu 1,2,3, Zhenming Peng 1,2,* and Juan Ma 4
1
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
2
Laboratory of Imaging Detection and Intelligent Perception, University of Electronic Science and Technology of China, Chengdu 610054, China
3
School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China
4
School of Science, Southwest University of Science and Technology, Mianyang 621010, China
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(11), 1252; https://doi.org/10.3390/electronics8111252
Received: 6 October 2019 / Revised: 22 October 2019 / Accepted: 28 October 2019 / Published: 1 November 2019
(This article belongs to the Section Microwave and Wireless Communications)
Target recognition is an important area in Synthetic Aperture Radar (SAR) research. Wide-angle Synthetic Aperture Radar (WSAR) has obvious advantages in target imaging resolution. This paper presents a vehicle target recognition algorithm for wide-angle SAR, which is based on joint feature set matching (JFSM). In this algorithm, firstly, the modulus stretch step is added in the imaging process of wide-angle SAR to obtain the thinned image of vehicle contour. Secondly, the gravitational-based speckle reduction algorithm is used to obtain a clearer contour image. Thirdly, the image is rotated to obtain a standard orientation image. Subsequently, the image and projection feature sets are extracted. Finally, the JFSM algorithm, which combines the image and projection sets, is used to identify the vehicle model. Experiments show that the recognition accuracy of the proposed algorithm is up to 85%. The proposed algorithm is demonstrated on the Gotcha WSAR dataset. View Full-Text
Keywords: wide-angle SAR; target recognition; modulus stretch; contour thinning; feature extraction wide-angle SAR; target recognition; modulus stretch; contour thinning; feature extraction
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Hu, R.; Peng, Z.; Ma, J. A Vehicle Target Recognition Algorithm for Wide-Angle SAR Based on Joint Feature Set Matching. Electronics 2019, 8, 1252.

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