CAJ | 학술논문

首先采用灰度均值和方差二维特征模糊分割SAR图像，其次基于8邻域链码跟踪边界法剔除植被、阴影等虚警，然后通过水体轮廓搜索潜在桥梁ROI点并进行直线拟合、线段连接和线段延拓，消除河心洲、船只和条纹干扰等影响确定疑似桥梁ROI，最后采用双参CFAR检测法分割桥梁ROI，根据目标主轴方向和周长等特征消除桥梁ROI内的虚假目标，识别和定位桥梁。实验表明，该算法能够准确识别水上桥梁目标，对条纹干扰的桥梁和灰度梯度较弱的桥梁同样有效。
수선채용회도균치화방차이유특정모호분할SAR도상，기차기우8린역련마근종변계법척제식피、음영등허경，연후통과수체륜곽수색잠재교량ROI점병진행직선의합、선단련접화선단연탁，소제하심주、선지화조문간우등영향학정의사교량ROI，최후채용쌍삼CFAR검측법분할교량ROI，근거목표주축방향화주장등특정소제교량ROI내적허가목표，식별화정위교량。실험표명，해산법능구준학식별수상교량목표，대조문간우적교량화회도제도교약적교량동양유효。
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.