计算机应用 ›› 2011, Vol. 31 ›› Issue (09): 2473-2476.DOI: 10.3724/SP.J.1087.2011.02473

• 图形图像技术 • 上一篇    下一篇

基于主导边界Radon变换的SAR目标方位角估计方法

黄嘉辛,陆军,赵凌君   

  1. 国防科学技术大学 电子科学与工程学院,长沙 410073
  • 收稿日期:2011-03-17 修回日期:2011-05-05 发布日期:2011-09-01 出版日期:2011-09-01
  • 通讯作者: 黄嘉辛
  • 作者简介:黄嘉辛(1985-),男,福建莆田人,硕士研究生,主要研究方向:基于SAR图像的自动目标识别;
    陆军(1970-),男,湖北仙桃人,副教授,博士,主要研究方向:雷达信息处理、战场态势估计;
    赵凌君(1981-),女,安徽安庆人,讲师,博士,主要研究方向:SAR图像人造目标检测。
  • 基金资助:
    国家自然科学基金资助项目(60772045)

Aspect estimation method for SAR target based on Radon transform of leading edge

HUANG Jia-xin,LU Jun,ZHAO Ling-jun   

  1. College of Electronic Science and Engineering, National University of Defense Technology, Changsha Hunan 410073, China
  • Received:2011-03-17 Revised:2011-05-05 Online:2011-09-01 Published:2011-09-01
  • Contact: HUANG Jia-xin

摘要: 针对仅利用主导边界估计带来的目标垂直与水平方位的模糊问题,提出一种基于主导边界Radon变换的合成孔径雷达(SAR)图像目标方位角估计方法。该方法基于分割图像中目标主导边界长度的判别准则进行解模糊,同时引入目标主导边界Radon变换的估计算法,解决了传统主导边界算法中长、短主导边界不易分离的问题。MSTAR实测数据的实验结果表明提出的算法具有良好的精确度和适应性。

关键词: 合成孔径雷达图像, 方位角估计, 主导边界, Radon变换

Abstract: Only using estimation of leading edge for target will cause vertical and horizontal ambiguity. Therefore, a new method of Synthetic Aperture Radar (SAR) target aspect estimation based on Radon transform of leading edge was proposed. The new method was introduced to eliminate the ambiguity of horizontal and vertical aspect estimation based on the length of the target region. It is difficult to separate the long leading edge from the short one. By introducing the discrimination rule of the target leading edge, the problem that many traditional algorithms try to settle was solved due to the estimation algorithm of Radon transform. The experimental results on the MSTAR data prove the precision and robustness of the algorithm.

Key words: Synthetic Aperture Radar (SAR) image, aspect estimation, leading edge, Radon transform

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