Constraint-base lidar point cloud fitting

Yi Chen Chen, Jyun Yuan Chen, Heng Chung Tsao, Chao-Hung Lin

研究成果: Paper

摘要

Airborne Light Detection and Ranging (LiDAR) has the ability of acquiring high-resolution and high-accuracy point clouds. The processing on point clouds has thus become an important research topic and has drawn increasing attention in the fields of remote sensing. An increasing number of 3D building models have been available in the Internet with the development of Web 2.0 techniques and scanning equipment. Many web-based data-sharing platforms, such as Google 3D Warehouse and MakerBot Thingiverse, provide functions for users to upload and share their models. Therefore, a fitting approach is proposed to construct building models using airborne LiDAR data. An iterative approach consists of three main parts, geometric analysis, point cloud segmentation, and model refinement, in proposed the experimental result shows that the proposed approach can generate 3D building models efficiently.

原文English
出版狀態Published - 2014 一月 1
事件35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014 - Nay Pyi Taw, Myanmar
持續時間: 2014 十月 272014 十月 31

Other

Other35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014
國家Myanmar
城市Nay Pyi Taw
期間14-10-2714-10-31

指紋

Optical radar
Warehouses
Remote sensing
Internet
Scanning
Processing

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

引用此文

Chen, Y. C., Chen, J. Y., Tsao, H. C., & Lin, C-H. (2014). Constraint-base lidar point cloud fitting. 論文發表於 35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014, Nay Pyi Taw, Myanmar.
Chen, Yi Chen ; Chen, Jyun Yuan ; Tsao, Heng Chung ; Lin, Chao-Hung. / Constraint-base lidar point cloud fitting. 論文發表於 35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014, Nay Pyi Taw, Myanmar.
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Chen, YC, Chen, JY, Tsao, HC & Lin, C-H 2014, 'Constraint-base lidar point cloud fitting', 論文發表於 35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014, Nay Pyi Taw, Myanmar, 14-10-27 - 14-10-31.

Constraint-base lidar point cloud fitting. / Chen, Yi Chen; Chen, Jyun Yuan; Tsao, Heng Chung; Lin, Chao-Hung.

2014. 論文發表於 35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014, Nay Pyi Taw, Myanmar.

研究成果: Paper

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Chen YC, Chen JY, Tsao HC, Lin C-H. Constraint-base lidar point cloud fitting. 2014. 論文發表於 35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014, Nay Pyi Taw, Myanmar.