智能勘测中点云辅助的正射影像自动化镶嵌方法

An automatic orthoimage mosaic method with LiDAR points cloud in intelligent survey

依托铁路智能勘测体系,针对铁路勘测中大范围数字正射影像(Digital Orthophoto Map,D0M)的自动化生产,本文提出了LiDAR点云辅助的正射影像自动化镶嵌方法。LiDAR点云数据可以准确的反映出地表形态起伏及地物变化信息,故基于点云数据构建镶嵌线搜索代价影像,然后提取出一条避开建筑、树木等高出地表区域的最优镶嵌线,避免产生地物几何错位,实现正射影像的自动化无缝镶嵌。试验表明,本文方法切实可行。

Supported by the intelligent survey system,this paper proposed a novel method to automatically product the large-scale digital orthophoto map(DOM)in railway survey with the help of Light Detection and Ranging(LiDAR)points cloud.LiDAR points cloud data could accurately reflect the information of topographic undulation and different ground objects.Therefore,the points cloud data was processed to create a search cost map.Meanwhile,the optimal seamline was detected for orthoimage mosaicking from the generated cost map,effectively avoiding crossing obvious ground objects such as buildings,trees,etc.Finally,the high quality large-scale DOM was automatically produced with less geometric distortion.Experiments showed that the proposed method was feasible.