摘要
提出了一种进行高分辨率SAR（synthetic aperture radar）图像阴影和目标检测的新思路.首先给出了基于等效视数模型的图像RCS（radar cross section）重构算法进行阴影检测,然后通过非线性积累,达到目标检测的目的.与CFAR（constant false alarm rate）检测相比,能够检测到阴影和更多感兴趣的目标.
A new solution of the shadow and target detection for high-resolution SAR (synthetic aperture radar) images is presented in this paper. At first, shadow detection through the RCS (radar cross section) reconstruction algorithm based on the model of equivalent number of looks is described, and then by nonlinear iterated process, the target detection is achieved. Compared with the CFAR (constant false alarm rate) detector, this algorithm can detect the shadow and more targets of interest.
出处
《软件学报》
EI
CSCD
北大核心
2002年第4期818-826,共9页
Journal of Software
关键词
等效视数模型
非线性积累
目标检测
合成孔径雷达
图像阴影
SAR (synthetic aperture radar)
the model of equivalent number of looks
RCS (radar cross section) reconstruction
nonlinear iterated process
shadow and target detection
