Advances and Prospects of Information Extraction from Point Clouds

被引：0
|
作者：
Zhang J. [1 ]
Lin X. [2 ]
Liang X. [3 ]
机构：
[1] National Quality Inspection and Testing Center for Surveying and Mapping Products, Beijing
[2] Chinese Academy of Surveying and Mapping, Beijing
[3] Finnish Geospatial Research Institute, Kirkkonummi
来源：
Lin, Xiangguo (linxiangguo@casm.ac.cn) | 1600年 / SinoMaps Press卷 / 46期
关键词：
Classification; Filtering; Fusion of multiple primitives; Information extraction; LiDAR point cloud; Photogrammetric point cloud;
D O I：
10.11947/j.AGCS.2017.20170345
中图分类号：
学科分类号：
摘要：
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 a great number of methods for point cloud information extraction. According to the three view points of primitive types, extracted features, and methods for feature selection and classification, this review paper summarizes the research status of point cloud information extraction. This paper also point out five main problems and six main trends in point cloud information extraction, especially introduces a new paradigm: fusion of multiple primitives for point cloud information extraction. © 2017, Surveying and Mapping Press. All right reserved.
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收藏
页码：1460 / 1469
页数：9
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