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Modulus Stretch-Based Circular SAR Imaging with Contour Thinning

1
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
2
The Laboratory of Imaging Detection and Intelligent Perception, University of Electronic Science and Technology of China, Chengdu 610054, China
3
School of Information Engineering, Soutwest University of Science and Technology, Mianyang 621010, China
4
School of Science, Soutwest University of Science and Technology, Mianyang 621010, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(13), 2728; https://doi.org/10.3390/app9132728
Received: 12 June 2019 / Revised: 30 June 2019 / Accepted: 2 July 2019 / Published: 5 July 2019
(This article belongs to the Section Electrical, Electronics and Communications Engineering)
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PDF [5195 KB, uploaded 5 July 2019]
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Abstract

This paper presents a modulus stretch-based circular Synthetic Aperture Radar (SAR) imaging method. This method improves the traditional backprojection algorithm for circular SAR imaging, and introduces the modulus stretch transformation function in the imaging process. By performing a modulus stretch transformation on the intermediate results, the target contour in the final imaging result is thinner and clearer. A thinner and clearer contour can help to increase the recognizability of the target and provide a basis for subsequent target recognition. The proposed method is demonstrated on the line target imaging simulations and Gothca dataset. View Full-Text
Keywords: circular SAR; wide-angle SAR; imaging; target recognition; modulus stretch circular SAR; wide-angle SAR; imaging; target recognition; modulus stretch
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Hu, R.; Peng, Z.; Zheng, K. Modulus Stretch-Based Circular SAR Imaging with Contour Thinning. Appl. Sci. 2019, 9, 2728.

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