Share Email Print
cover

Proceedings Paper

Geometric shapes inversion method of space targets by ISAR image segmentation
Author(s): Chao-ying Huo; Xiao-yu Xing; Hong-cheng Yin; Chen-guang Li; Xiang-yun Zeng; Gao-gui Xu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 15 November 2017
PDF: 9 pages
Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106053B (15 November 2017); doi: 10.1117/12.2295580
Show Author Affiliations
Chao-ying Huo, Science and Technology on Electromagnetic Scattering Lab. (China)
Xiao-yu Xing, Science and Technology on Electromagnetic Scattering Lab. (China)
Hong-cheng Yin, Science and Technology on Electromagnetic Scattering Lab. (China)
Chen-guang Li, Science and Technology on Electromagnetic Scattering Lab. (China)
Xiang-yun Zeng, China Three Gorges Univ. (China)
Gao-gui Xu, China Three Gorges Univ. (China)


Published in SPIE Proceedings Vol. 10605:
LIDAR Imaging Detection and Target Recognition 2017
Yueguang Lv; Weimin Bao; Weibiao Chen; Zelin Shi; Jianzhong Su; Jindong Fei; Wei Gong; Shensheng Han; Weiqi Jin; Jian Yang, Editor(s)

© SPIE. Terms of Use
Back to Top