Geometric shapes inversion method of space targets by ISAR image segmentation

被引：3
|
作者：
Huo Chao-ying [1 ]
Xing Xiao-yu [1 ]
Yin Hong-cheng [1 ]
Li Chen-guang [1 ]
Zeng Xiang-yun [2 ]
Xu Gao-gui [2 ]
机构：
[1] Sci & Technol Electromagnet Scattering Lab, Beijing 100854, Peoples R China
[2] China Three Gorges Univ, Coll Sci, Yichang 443002, Peoples R China
来源：
LIDAR IMAGING DETECTION AND TARGET RECOGNITION 2017 | 2017年 / 10605卷
关键词：
ISAR image; image segmentation; geometric shapes inversion;
D O I：
10.1117/12.2295580
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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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收藏
页数：9
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