基于RCS曲线的SAR图像点目标变化检测

基于RCS曲线的SAR图像点目标变化检测

内容简介：地物目标的物理结构、表面粗糙度或地物目标类型发生了变化,则其后向散射能量一般会发生相应的变化,对应的雷达散射截面(Radar Cross Section,RCS)也会发生变化,这将导致合成孔径雷达(Synthetic Aperture Radar, SAR)图像的亮度和色泽发生变化.提出了一种新的基于RCS曲线特性的SAR图像目标变化检测算法.该算法不同于以往的基于图像域的变化检测算法,从目标的散射特性提取目标的变化信息,避免了不同时相的SAR图像对误配准所带来的错误.并进行了仿真实验,实验结果表明可行.

Abstract：If the physical structure and surface roughness of ground objects or object classes change, backscattering energy will produce corresponding changes and radar cross section (RCS) also changes. It leads to the brightness and color changes of synthetic aperture radar (SAR) images. So this paper proposes a new SAR image target change detection algorithm which is based on RCS curve. The proposed algorithm is different from other change detection algorithms that are based on image field. It can obtain the change information through target scattering characteristics, which avoids some errors brought by the error registration between multi-temporal SAR images. Finally, some test experiments perform with SAR image and the experimental results show that the method is feasible.

作者：黄世奇, 刘代志, 蔡欣华, 王仕成,

关键词：雷达散射截面, RCS, RCS曲线, SAR图像, 目标变化检测, 散射特性