宇航学报

宇航学报 ›› 2011, Vol. 32 ›› Issue (4): 879-887.doi: 10.3873/j.issn.1000-1328.2011.04.026

• 电子信息 • 上一篇    下一篇

一种基于多模分布的SAR图像分割算法

尹奎英1, 刘宏伟1, 金林2, 王英华1   

  1. 1. 西安电子科技大学雷达信号处理国家重点实验室，西安 710071；2. 南京电子技术研究所, 南京 210039
  • 收稿日期:2010-05-11 修回日期:2010-11-15 出版日期:2011-04-15 发布日期:2011-04-27
  • 基金资助:
    国家自然科学基金（60772140）;-教育部长江学者和创新团队支持计划（IRT0645）

A SAR Image Segmentation Algorithm Based on Multi-Mode Distribution

YIN Kui   

  1. 1. National Lab of Radar Signal Processing, Xidian University, Xi’an 710071，China;  2. Nanjing Research Institute of Electronics Technology, Nanjing 210039，China
  • Received:2010-05-11 Revised:2010-11-15 Online:2011-04-15 Published:2011-04-27

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摘要： SAR图像目标、背景、阴影的不同散射机理使得这三部分具有不同的统计特性。分析SAR图像三部分统计性质分别建立统计模型，并给出了一种基于这三种模型组合的多模分布的SAR图像分割算法，对于目标分割和阴影分割分别采用不同的预处理方法，分别提出了快速Otsu分割算法分割目标和基于背景均值保留的冲击滤波算法分割阴影。分割结果表明，这种基于多模分布的SAR图像分割算法与传统的基于单模分割算法相比，能最佳地利用各部分统计特性的差异，得到准确的分割结果。

关键词: 合成孔径雷达, 分割算法, 多模分布, Otsu法, 冲击滤波

Abstract: In SAR image, the different scattering mechanisms of target, background clutter and target shadow are different, thus resulting in their different statistical characteristics. By analyzing their respective imaging characteristics, different statistical models are developed to describe the three components. Then a multi\|mode distribution SAR image segmentation algorithm based on a combination of the three models is proposed. For the target and shadow segmentation, different pre\|processing methods are adopted. A fast one\|dimensional Otsu algorithm is proposed to segment target from background clutter; and a SAR image enhancement algorithm based on the background mean\|preserving shock filter is proposed to segment shadow from background clutter. Experimental results show that, compared with traditional segmentation algorithms based on the single\|mode distributions, this multi\|mode distribution segmentation algorithm can make better use of the statistical characteristic differences of the three components,
thus obtaining higher segmentation accuracy and better practicability.

Key words: SAR,  , SeGmentation algorithm,  , Multi-mode distribution,  

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