Multiple Point Clouds Data Fusion Method for 3D City Modeling

ZHU Qing; LI Shiming; HU Han; ZHONG Ruofei; WU Bo; XIE Linfu

doi:10.13203/j.whugis20180109

Volume 43 Issue 12

Dec. 2018

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Geomatics and Information Science of Wuhan University > 2018 > 43(12): 1962-1971. > DOI: 10.13203/j.whugis20180109

ZHU Qing, LI Shiming, HU Han, ZHONG Ruofei, WU Bo, XIE Linfu. Multiple Point Clouds Data Fusion Method for 3D City Modeling[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 1962-1971. DOI: 10.13203/j.whugis20180109

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Multiple Point Clouds Data Fusion Method for 3D City Modeling

ZHU Qing^{1, 2, 3,},
LI Shiming^{1, 2},
HU Han^4, ,,
ZHONG Ruofei³,
WU Bo⁴,
XIE Linfu⁴

1.
State Key Laboratory of Rail Transit Engineering Informatization(FSDI), Xi'an 710043, China
2.
Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
3.
Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China
4.
Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China

Funds:

The National Natural Science Foundation of China 41631174

More Information

Author Bio:
ZHU Qing, PhD, professor, Distinguished Professor of Changjiang Scholar Program. His research direction is photogrammetry, geographic information system and virtual geographical environment. E-mail:zhuq66@263.com
Corresponding author:
HU Han, PhD, postdoctoral fellow. E-mail: huhan19880715@163.com
Received Date: March 29, 2018
Published Date: December 04, 2018

Graphical Abstract

Abstract

Abstract

Three-dimensional city models in multiple levels of details consists of the fundamental geospatial data infrastructure for digital city and wisdom society, feature based interactive modeling using sparse point or line features and automatic modeling based on dense point clouds have triggered interests in both academic and industrial communities. Because of the complexity of spatial structure of three-dimensional cities, fusion of multi-source, multi-view and multi-temporal point clouds is a critical issue of three-dimensional city modeling. The basic idea is to integrate multiple point clouds data, which have different characteristics such as angle of view, density, accuracy, scale, level of detail, time stamps, into the same coherent representation. This paper first summarizes the main characterstics of ubiquitous point clouds data, and then analyzes the major trend of multiple point clouds data fusion methods from three aspects, time-space datum and precision, scale, and semantics. Finally, critical issues of multiple point clouds data fusion for 3D city modeling are given.
- multiple point clouds,
- data fusion,
- three-dimensional city modeling,
- laser scanning point cloud,
- image matching point cloud,
- semantic

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References (77)

References

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Multiple Point Clouds Data Fusion Method for 3D City Modeling

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