极化SAR图像中非平稳目标的检测与区分方法研究  

Detection and discrimination of nonstationary objects in polarimetric SAR images

作　　者：王海江[1,2] 皮亦鸣[1] 

机构地区：[1]电子科技大学电子工程学院,成都610054 [2]成都信息工程学院电子工程系,成都610225

出　　处：《测绘科学》2009年第6期17-19,共3页Science of Surveying and Mapping

基　　金：国家自然科学基金资助项目(60772143);四川省青年科技基金会资助项目(06ZQ026-006)

摘　　要：在合成孔径雷达(SAR)极化测量中,通常认为雷达视角相对于目标是不变的。然而实际上SAR通常具有较宽的方位向波束,在孔径合成过程中,所成的全分辨率SAR图像包含多个斜视角下的目标回波。极化参数的子孔径分析可以用来对成像过程表现出非平稳散射行为的媒质进行检测。本文提出了一套基于子孔径分解和对散射矩阵及参数进行统计分析的方法,来检测两类非平稳目标。仿真结果表明,这种方法具有较好的非平稳目标检测和区分性能。In synthetic aperture radar（SAR） polarimetry, it is generally assumed that the sensor has a fixed orientation with respect to the objects. However, SAR sensors usually have a wide azimuth beamwidth, i. e. , during the formation of the synthetic aperture, multiple squint angles are integrated to build the full-resolution SAR image. Subaperture analysis of polarimetric parameters can be used to discriminate media showing a nonstationary behavior during SAR integration. In this paper, a method based on subaperture decomposition and statistical analysis of the scattering coherence matrix and parameters was presented. With this method, two kinds of nonstationary objects were detected. The simulation results show that this method has a good performance on nonstationary object detection and discrimination.

关 键 词：极化SAR 子孔径分析 非平稳目标 极大似然比 BRAGG 谐振 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]