Advances and Prospects of Information Extraction from Point Clouds
Point cloud is one type of the widely used data sources in many communities such as photogrammetry, remote sensing, and computer vision etc. Moreover, information extraction is a necessary step in the process of point cloud processing, analysis and applications. As result, the scholars have proposed...
Main Authors: | ZHANG Jixian, LIN Xiangguo, LIANG Xinlian |
---|---|
Format: | Article |
Language: | zho |
Published: |
Surveying and Mapping Press
2017-10-01
|
Series: | Acta Geodaetica et Cartographica Sinica |
Subjects: | |
Online Access: | http://html.rhhz.net/CHXB/html/2017-10-1460.htm |
Similar Items
-
Filtering of Point Clouds Using Fusion of Three Types of Primitives Including Points, Objects and Key Points
by: LIN Xiangguo, et al.
Published: (2016-11-01) -
Segmentation-Based Filtering of Airborne LiDAR Point Clouds by Progressive Densification of Terrain Segments
by: Xiangguo Lin, et al.
Published: (2014-02-01) -
SVM-Based Classification of Segmented Airborne LiDAR Point Clouds in Urban Areas
by: Xiaogang Ning, et al.
Published: (2013-07-01) -
Progress, Challenges and Perspectives of 3D LiDAR Point Cloud Processing
by: YANG Bisheng, et al.
Published: (2017-10-01) -
An Optimized Point Cloud Classification and Object Extraction Method Using Graph Cuts
by: Bo Guo, et al.
Published: (2020-01-01)