Research on 3D modeling method of city with multi-source data fusion

doi:10.13474/j.cnki.11-2246.2023.0340

Abstract

Abstract: In order to make full use of the advantages of multi-source data and avoid the defects of single data, we use multi-source data to explore the key technologies of multi-source data fusion. Subsequently, a multi-source data fusion modeling method was proposed, which is used to realize the 3D reconstruction of urban entity of a compound in Shaanxi province,and the LOD1—LOD3 level city models are constructed respectively. Finally, the accuracy of the modeling results and the precision of the model were evaluated by using the measured control points reference. The results show that this method can realize multi-source data fusion modeling efficiently. The results of fusion data modeling have improved the precision and precision of the model. The accuracy of the city model with different levels of detail constructed by multi-source fusion data meets the requirements of CityGML for urban entities.

Key words: 3D reconstruction, multi-source data fusion, point clouds registration, point clouds reorganization, urban entity

CLC Number:

P237

HU Xiaojing, LIU Yu, CHEN Yanbo, LI Shudan, LI Yao. Research on 3D modeling method of city with multi-source data fusion[J]. Bulletin of Surveying and Mapping, 2023, 0(11): 128-131.

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