系统工程与电子技术

• 传感器与信号处理 • 上一篇    下一篇

基于混合边缘检测的极化SAR图像海岸线检测

刘春, 殷君君, 杨健   

  1. 清华大学电子工程系, 北京 100084
  • 出版日期:2016-05-25 发布日期:2010-01-03

Coastline detection in polarimetric SAR images based on mixed edge detection

LIU Chun, YIN Jun-jun, YANG Jian   

  1. Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
  • Online:2016-05-25 Published:2010-01-03

摘要:

针对传统方法在金属建筑反射干扰严重情况下无法实现海岸线精确检测问题,本文在分析海岸线边缘特有散射特性的基础上,提出了混合统计和散射特性的海岸线边缘检测方法。该方法分别以似然比和体散射功率比值检测子检验窗口相邻区域统计和散射特性的不同,并通过模糊集方法融合两个检测子。在由提出的检测子实现粗岸线检测的基础上,采用基于边缘能量图的快速活动轮廓模型对岸线进一步精细化。对大连海岸区域极化合成孔径雷达(synthetic aperture radar, SAR)图像进行实验,结果表明提出算法有效减少了强金属建筑干扰和不同海况区域导致的虚假岸线边缘,实现了精确的海岸线检测。

Abstract:

When the reflection interference of metal buildings is severe, a new coastline detection method is proposed based on edge detection mixing statistics and scattering characteristics. It overcomes the difficulty in accurate coastline detection by the traditional methods. The differences between statistical characteristics and scattering characteristics in adjacent region of the detection window are tested by using the likelihood ratio detector and ratio detector of volume scattering power respectively, and then the two detectors are fused by using the fuzzy set method. On the basis of coarse coastline detection by using the proposed detector, the coarse results are further improved by using the fast active contour model based on the edge energy map. The detection scheme is tested by using polarimetric synthetic aperture radar (SAR) images acquired by RADARSAT-2 over Dalian area of China. Experiment results demonstrate that the false edges resulted with the reflection interference of metal buildings and complex ocean environment are greatly reduced and the real coastline is accurately detected.