火力与指挥控制Issue(4)：133-136,140,5.
一种高分辨率SAR图像水上桥梁目标识别新方法
A Novel Algorithm for Bridge Recognition over Water in High Resolution SAR Image
摘要
Abstract
First,2 -dimensional feature of gray mean and variance is adopt to the fuzzy segmentation of SAR image. Second,lawn and hill shadow false targets are excluded based on 8-neighbour chain-code tracking edge method. Then the potential edge points of bridge ROIs(regions of interest)obtained by searching the water regions are used to line fitting. In order to avoid the effect of island in river,ships and stripe jamming,the fitted lines are also connected and extended respectively to identify the suspected bridge ROIs. Finally,the suspected bridge ROIs are segmented by double parameter CFAR further,where the false targets are excluded by the principle axis direction and perimeter extracted,and the bridges are recognized and located exactly. Experimental results show the algorithm can recognize the bridges over water accurately in high resolution SAR image,especially the bridges with subtle grey gradient variance or disturbed by stripe jamming.关键词
SAR图像/桥梁识别/模糊分割/双参恒虚警检测/直线拟合Key words
SAR image/bridge recognition/fuzzy segment/double parameter CFAR/line fitting分类
信息技术与安全科学引用本文复制引用
熊伟,钟娟娟,曹兰英..一种高分辨率SAR图像水上桥梁目标识别新方法[J].火力与指挥控制,2014,(4):133-136,140,5.基金项目
国防预研课题基金资助项目 （）
