15 November 2017 Geometric shapes inversion method of space targets by ISAR image segmentation
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Proceedings Volume 10605, LIDAR Imaging Detection and Target Recognition 2017; 106053B (2017) https://doi.org/10.1117/12.2295580
Event: LIDAR Imaging Detection and Target Recognition 2017, 2017, Changchun, China
Abstract
The geometric shape of target is an effective characteristic in the process of space targets recognition. This paper proposed a method of shape inversion of space target based on components segmentation from ISAR image. The Radon transformation, Hough transformation, K-means clustering, triangulation will be introduced into ISAR image processing. Firstly, we use Radon transformation and edge detection to extract space target’s main body spindle and solar panel spindle from ISAR image. Then the targets’ main body, solar panel, rectangular and circular antenna are segmented from ISAR image based on image detection theory. Finally, the sizes of every structural component are computed. The effectiveness of this method is verified using typical targets’ simulation data.
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Chao-ying Huo, Chao-ying Huo, Xiao-yu Xing, Xiao-yu Xing, Hong-cheng Yin, Hong-cheng Yin, Chen-guang Li, Chen-guang Li, Xiang-yun Zeng, Xiang-yun Zeng, Gao-gui Xu, Gao-gui Xu, } "Geometric shapes inversion method of space targets by ISAR image segmentation", Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106053B (15 November 2017); doi: 10.1117/12.2295580; https://doi.org/10.1117/12.2295580
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