An Identification Method for Specific Spacecraft Platform Using Radar Cross Section Sequence

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An Identification Method for Specific Spacecraft Platform Using Radar Cross Section Sequence

更新时间：2025-07-09

- An Identification Method for Specific Spacecraft Platform Using Radar Cross Section Sequence
- Vol. 45, Issue 12, Pages: 53-58(2011)
- 作者机构：
  
  中国西安卫星测控中心宇航动力学国家重点实验室,西安,710043
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN95
- Online First：10 December 2011，
  
  Published：2011
- 稿件说明：
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An Identification Method for Specific Spacecraft Platform Using Radar Cross Section Sequence[J]. 2011, 45(12): 53-58.
DOI：

An Identification Method for Specific Spacecraft Platform Using Radar Cross Section Sequence[J]. 2011, 45(12): 53-58. DOI：

摘要

针对三维运动特性及雷达散射截面积(RCS)的姿态敏感性等因素影响航天器在轨运行识别的问题

结合特定工作平台RCS测量序列的典型特征

提出将每个观测弧段的RCS序列视为图像来提取边缘、骨架和密度等特征

再利用基于Hausdorff距离的图像匹配方法与特定工作平台上的航天器模板进行匹配识别

从而有针对性地实现了航天器的分类识别.实测结果表明

所提方法的分类正确率可高达85%

识别效果明显优于传统的统计和小波变换的方法.

Abstract

A method for identifying specific spacecraft is proposed to improve the problem that statistic characteristics or various translation characteristics of RCS(radar cross section)sequence are inconsistent and can not be used to correctly identify spacecrafts which is caused by the influence of the three-dimensional movement characteristic of the spacecraft and the attitude sensitivity of RCS. The proposed method bases upon analyses on the RCS sequence

and identifies specific platforms using narrow-band radar RCS sequence. The method extracts edge

skeleton

density and other characteristics of arcs by regarding the RCS sequence of each arc as an image

and uses an image matching method based on Hausdorff distance to classify and identify spacecrafts

so that spacecrafts can be effectively identified on specific platforms. Test results show that the proposed method achieves a 85% accurate rate for the specific spacecraft platform identification

and is much better than traditional statistics and wavelet decomposition methods.

关键词

Keywords

references

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赵海勇, 刘志镜, 张浩.基于轮廓特征的人体行为识别[J].光电子•激光, 2010, 21(10): 1547-1551.

ZHAO Haiyong, LIU Zhijing, ZHANG Hao. Human action recognition using the image contour [J]. Journal of Optoelectronics•Laser, 2010, 21(10): 1547-1551.

杨效余, 张天序.一种基于复杂地物背景图像的目标识别方法 [J].系统工程与电子技术, 2011, 33(1): 13-16.

YANG Xiaoyu, ZHANG Tianxu. Method of target recognition from images based on complex natural scenes [J].System Engineering and Electronics Technology, 2011, 33(1): 13-16.

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