点云信息提取研究进展和展望

Advances and Prospects of Information Extraction from Point Clouds

点云是目前摄影测量、遥感、计算机视觉等多个领域广泛应用的数据源之一,而信息提取是点云处理、分析和应用的必经环节。为此,学术界已经提出了大量点云信息提取方法。本文从基元类型、提取特征、特征选择与分类器等3个视角概括了点云信息提取的相关研究现状,总结出点云信息提取存在的5个主要问题,点明了点云信息提取的6个主要发展趋势,并着重介绍了"融合多基元的点云信息提取范式"。

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.