Refined DEM generation based on fusion of laser point cloud and image point cloud

doi:10.13474/j.cnki.11-2246.2022.0360

Abstract

Abstract: In view of the problem that the ground laser scanning and UAV aerial photography technology is difficult to obtain the complete point cloud data of the area to be measured due to factors such as field angle limitation or occlusion in actual field measurement, based on the classical ICP algorithm, this paper proposes a fusion method of laser point cloud and image point cloud considering the elevation difference and point cloud density, divides the point cloud into blocks by differential digital elevation model, selects the fusion range based on the point cloud density, and registers the segmented image point cloud to the holes and sparse areas of the laser point cloud. The method in this paper can improve the fusion effect of laser point cloud and image point cloud, keep the precision of laser point cloud and retain more detailed features, and realize the high-quality fusion of laser point cloud and image point cloud.

Key words: image point cloud, laser point cloud, block registration, point cloud fusion, differential digital elevation model

CLC Number:

P237

DAI Huayi, LI Shoujun, ZHANG Ziwei, YANG Fanlin, MAO Donghai, CHEN Xiang. Refined DEM generation based on fusion of laser point cloud and image point cloud[J]. Bulletin of Surveying and Mapping, 2022, 0(12): 77-83.

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