Airborne LiDAR point cloud fitting with geometric constraints

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

研究成果: Conference contribution

2 引文 (Scopus)

摘要

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.

原文English
主出版物標題2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面814-817
頁數4
ISBN(電子)9781479979295
DOIs
出版狀態Published - 2015 十一月 10
事件IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
持續時間: 2015 七月 262015 七月 31

出版系列

名字International Geoscience and Remote Sensing Symposium (IGARSS)
2015-November

Other

OtherIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
國家Italy
城市Milan
期間15-07-2615-07-31

指紋

Websites
method

All Science Journal Classification (ASJC) codes

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

引用此文

Tsao, H. C., Chen, J. Y., & Lin, C-H. (2015). Airborne LiDAR point cloud fitting with geometric constraints. 於 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings (頁 814-817). [7325889] (International Geoscience and Remote Sensing Symposium (IGARSS); 卷 2015-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2015.7325889
Tsao, Heng Chuan ; Chen, Jyun Yuan ; Lin, Chao-Hung. / Airborne LiDAR point cloud fitting with geometric constraints. 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. 頁 814-817 (International Geoscience and Remote Sensing Symposium (IGARSS)).
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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.",
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Tsao, HC, Chen, JY & Lin, C-H 2015, Airborne LiDAR point cloud fitting with geometric constraints. 於 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings., 7325889, International Geoscience and Remote Sensing Symposium (IGARSS), 卷 2015-November, Institute of Electrical and Electronics Engineers Inc., 頁 814-817, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015, Milan, Italy, 15-07-26. https://doi.org/10.1109/IGARSS.2015.7325889

Airborne LiDAR point cloud fitting with geometric constraints. / Tsao, Heng Chuan; Chen, Jyun Yuan; Lin, Chao-Hung.

2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 814-817 7325889 (International Geoscience and Remote Sensing Symposium (IGARSS); 卷 2015-November).

研究成果: Conference contribution

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AB - 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.

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Tsao HC, Chen JY, Lin C-H. Airborne LiDAR point cloud fitting with geometric constraints. 於 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 814-817. 7325889. (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2015.7325889