Airborne LiDAR point cloud fitting with geometric constraints

Heng Chuan Tsao, Jyun Yuan Chen, Chao-Hung Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Many building models are shared in the website. These models generally have high-quality appearances. However, the accuracy of these building models would not be suitable for each case. Therefore, a model refinement approach is proposed in this paper to refine building models by using airborne LiDAR data. The proposed approach consists of three steps, namely, data processing, geometric reconstruction, and model refinement. The first step is to partition a point cloud into several surface models. The second step is to establish geometric relations and constraints of building models, and the last step is to refine building models with the obtained constraints. By using the proposed method, the building models can be refined more efficiently and accurately, and the original geometric relations can be also maintained.

Original languageEnglish
Title of host publication2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages814-817
Number of pages4
ISBN (Electronic)9781479979295
DOIs
Publication statusPublished - 2015 Nov 10
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
Duration: 2015 Jul 262015 Jul 31

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2015-November

Other

OtherIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
CountryItaly
CityMilan
Period15-07-2615-07-31

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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    Tsao, H. C., Chen, J. Y., & Lin, C-H. (2015). Airborne LiDAR point cloud fitting with geometric constraints. In 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings (pp. 814-817). [7325889] (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2015-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2015.7325889