Automatic high precision registration of terrestrial LiDAR point cloud and digital image

doi:10.13474/j.cnki.11-2246.2021.310

Abstract

Abstract: In order to solve the problem of automatic registration of non-homologous and heterogeneous data of ground LiDAR and digital optical image, this paper proposes a method of high-precision automatic extraction of homonymous features based on mutual information. Firstly, the reflection intensity image and the color image based on RGB information of the central plane projection are generated from the point cloud data, and the coarse registration parameters of the point cloud and the image are determined by the matching of the color image of the point cloud and the digital optical image. Then, the feature of the reflection intensity image is extracted, and its initial position on the digital optical image is determined by coarse registration parameters, and the high-precision matching of non-homologous data is realized by mutual information. Finally, Rodrigues matrix and weight selection iterative method are used to calculate the high-precision registration parameters and generate the three-dimensional color model. The experimental results show that this method can solve the registration problem of non-homologous and heterogeneous data for the terrestrial LiDAR point cloud and digital optical image, which has certain research and application value.

Key words: terrestrial LiDAR point cloud, optical image, matching, mutual information, registration

CLC Number:

P237

HU Chunmei, XIA Guofang, LIU Xi. Automatic high precision registration of terrestrial LiDAR point cloud and digital image[J]. Bulletin of Surveying and Mapping, 2021, 0(10): 83-87.

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