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机构地区:[1]铁道第三勘察设计院集团有限公司工程实验室,天津300161 [2]军事交通学院汽车指挥系,天津300160
出 处:《遥感技术与应用》2013年第5期761-765,共5页Remote Sensing Technology and Application
基 金:国家自然科学基金项目"基于航空影像的模型导向建筑物三维建模研究"(41101450)
摘 要:从高分辨率影像中提取既有铁路中线,目前鲜有研究。铁路内部边缘丰富且具有良好的方向性,同时大量与线路近同向的铁轨阴影对中线提取造成干扰,使中线无法精确居中。提出一种两阶段的铁路中线提取方法,首先基于置信度方向直方图计算铁路中线的初始方向;然后根据轨间距与初始方向去除粗差点,以最小二乘法拟合铁路中线两侧最邻近铁轨线方程,通过近邻铁轨线方程内插实现铁路中线的精确定位。选取LiDAR影像中1 000m双轨高铁进行实验,结果表明:采用该方法能够准确、快速地提取实验区中的铁路中线。Rare attention has been paid on railway extraction in high resolution images, which is important and necessary for railway exploration. Railway has rich edge feature and good directionality. Meanwhile, the disturbances of track-shade which has the approximate direction with the centerline create deviation in the extraction process so that make the centerline offset greatly. A two stage method is proposed for railway extraction in this paper,firstly,the initial direction is computed based on confidence direction histogram, and then,gross errors are removed according to initial direction and the distance of tracks, LSF algorithm is applied to obtain the accurate equations of the two tracks which are mostly adjacent to the centerline,finally,the accurate direction of centerline is obtained by the interpolation of the two adjacent track-line equations. And 1 000 meter high-speed railway was chosen from the LiDAR image to do experiment. The experiment result shows that the approach can extract railway centerline accurately and effectively.
关 键 词:高分辨率影像 铁路中线提取 方向直方图 最小二乘拟合 置信度
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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