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Journal of Applied Remote Sensing

High-resolution inverse synthetic aperture radar imaging for large rotation angle targets based on segmented processing algorithm
Author(s): Hao Chen; Xinggan Zhang; Yechao Bai; Lan Tang
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Paper Abstract

In inverse synthetic aperture radar (ISAR) imaging, the migration through resolution cells (MTRCs) will occur when the rotation angle of the moving target is large, thereby degrading image resolution. To solve this problem, an ISAR imaging method based on segmented preprocessing is proposed. In this method, the echoes of large rotating target are divided into several small segments, and every segment can generate a low-resolution image without MTRCs. Then, each low-resolution image is rotated back to the original position. After image registration and phase compensation, a high-resolution image can be obtained. Simulation and real experiments show that the proposed algorithm can deal with the radar system with different range and cross-range resolutions and significantly compensate the MTRCs.

Paper Details

Date Published: 16 March 2017
PDF: 11 pages
J. Appl. Rem. Sens. 11(1) 015023 doi: 10.1117/1.JRS.11.015023
Published in: Journal of Applied Remote Sensing Volume 11, Issue 1
Show Author Affiliations
Hao Chen, Nanjing Univ. (China)
Anhui Normal Univ. (China)
Xinggan Zhang, Nanjing Univ. (China)
Yechao Bai, Nanjing Univ. (China)
Lan Tang, Nanjing Univ. (China)
Southeast Univ. (China)


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