基于倾斜影像密集匹配点云的数字高程模型更新方法研究

针对数字高程模型(DEM)更新时传统航空摄影测量方法效率低和激光雷达点云方法成本高的问题,提出了一种基于倾斜影像密集匹配点云的DEM更新方法.将倾斜影像生成密集匹配点云,然后对地形变化区域进行滤波并与未变化区域历史DEM反生成的点云合并,对合并后更新区域和接边问题进行处理后得到更新后的DEM成果.该方法更新的DEM既具...

The Research on DEM Updating Based on Oblique Images Dense Stereo Matching Point Clouds

This paper proposes a method of DEM Updating Based on Oblique Images Dense Stereo Matching Point Clouds,which can avoid the problems of low efficiency of traditional aerial photogrammetry method and high cost of LIDAR point cloud method when DEM updated.Densestereo matching point clouds is generated from the oblique images,and then filtering point clouds in terrain changing regions,and combined with the point clouds generated from the historical DEM of the unchanged area.The updated DEM results are obtained after processing the merged point clouds and the edge problem.The DEM updated by this method not only has the advantage of point cloud,but also avoids obtaining LIDAR point clouds.It is an effective DEM updating method.