Automatic plane extraction from LIDAR data based on octree splitting and merging segmentation

Yi-Hsing Tseng, Miao Wang

研究成果: Conference contribution

16 引文 斯高帕斯(Scopus)

摘要

LIDAR, or laser scanning, has become a viable technique for the data collection of a large amount of accurate 3D points densely distributed on scanned surfaces of objects. The inherent 3D nature of the sub-randomly distributed point cloud provides abundant spatial information. To explore valuable spatial information from LIDAR data becomes an active research topic. For the applications of building reconstruction from ground based LIDAR and city modeling from airborne LIDAR, the most fundamental spatial information to be extracted are plane features. An automatic method was developed to extract plane features from LIDAR point cloud data. The proposed approach is to segment the LIDAR point cloud by using a three-dimensional (3D) splitting and merging segmentation based on an octree structure. In the splitting procedure, the point cloud will be continuously divided into the octree sub-space until in each octree sub-space contains points closely fitting a 3D plane. In the merging procedure, adjacent octree sub-spaces will be merged if the contained points closely fitting the same plane. After the process, a LIDAR data set can be segmented into point clusters of plane fitting and is organized in an octree structure. Attributes, such as boundary, area, gradient, roughness, intensity etc., of the extracted planes maybe derived for further analysis. Both ground-based and airborne LIDAR data are tested in this study. The test results show reasonable segmentation to validate the efficiency of the proposed method.

原文English
主出版物標題25th Anniversary IGARSS 2005
主出版物子標題IEEE International Geoscience and Remote Sensing Symposium
頁面3281-3284
頁數4
DOIs
出版狀態Published - 2005 十二月 1
事件2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 - Seoul, Korea, Republic of
持續時間: 2005 七月 252005 七月 29

出版系列

名字International Geoscience and Remote Sensing Symposium (IGARSS)
5

Other

Other2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005
國家/地區Korea, Republic of
城市Seoul
期間05-07-2505-07-29

All Science Journal Classification (ASJC) codes

  • 電腦科學應用
  • 地球與行星科學(全部)

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