激光与光电子学进展, 2016, 53 (8): 080001, 网络出版: 2016-08-11
基于LiDAR数字高程模型构建的数学形态学滤波方法综述 下载: 520次
Review on Morphological Filtering Algorithms Based on LiDAR Digital Elevation Model Construction
摘要
数字高程模型的获取是智慧城市建立的前提,机载LiDAR技术为数字高程模型的获取提供了新的技术手段。准确的地面点滤波是获取精确数字高程模型的关键,因此机载LiDAR点云滤波一直都是研究的热点与难点。由于数学形态学滤波法应用于机载LiDAR点云滤波时具有简单高效的特性,所以该类型算法是点云滤波中的主流算法。为深入了解此类型算法,对国内外现有的基于数学形态学的点云滤波法进行系统总结,详细分析了各种方法的特点、可解决的问题及存在的问题,并结合现有基于数学形态学滤波法的主要缺陷展望了此类型算法的发展方向。
Abstract
Digital elevation model acquisition is the precondition of smart city construction. The airborne LiDAR technology provides a new approach for building the digital elevation model. Accurate ground point cloud filtering is the key to constructing the digital elevation model, so filtering for airborne LiDAR point cloud has always been a research hotspot and difficulty. As the morphological algorithms are simple and efficient, they are the mainstream in the point cloud filtering. To deep understand the algorithms, we summarize existed morphological filtering algorithms at home and abroad, analyze the characteristics, resolved problems and unresolved problems of various filtering methods, and present the prospect of the algorithms based on the unresolved problems.
惠振阳, 胡友健. 基于LiDAR数字高程模型构建的数学形态学滤波方法综述[J]. 激光与光电子学进展, 2016, 53(8): 080001. Hui Zhenyang, Hu Youjian. Review on Morphological Filtering Algorithms Based on LiDAR Digital Elevation Model Construction[J]. Laser & Optoelectronics Progress, 2016, 53(8): 080001.