Advances and Prospects of Information Extraction from Point Clouds

• 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: LiDAR point cloud; photogrammetric point cloud; filtering; classification; fusion of multiple primitives; information extraction
• Online Access: http://html.rhhz.net/CHXB/html/2017-10-1460.htm

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.