TY - GEN
T1 - Airborne LiDAR point cloud fitting with geometric constraints
AU - Tsao, Heng Chuan
AU - Chen, Jyun Yuan
AU - Lin, Chao-Hung
PY - 2015/11/10
Y1 - 2015/11/10
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=84962528071&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962528071&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2015.7325889
DO - 10.1109/IGARSS.2015.7325889
M3 - Conference contribution
AN - SCOPUS:84962528071
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 814
EP - 817
BT - 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Y2 - 26 July 2015 through 31 July 2015
ER -