A segment-based filtering method for mobile laser scanning point cloud. (3rd April 2022)

• Record Type: Journal Article
• Authors: Lin, Xiangguo; Xie, Wenhan
• Is Part Of: International journal of image and data fusion. Volume 13:Number 2(2022)
• Page Start: 136
• Page End: 154
• Publication Date: 2022-04-03
• Subjects: Filtering -- mobile laser scanning -- point cloud -- point cloud segmentation -- ground points; Image processing -- Periodicals; Multisensor data fusion -- Periodicals; Multisensor data fusion; Periodicals; 621.36705
• DOI: 10.1080/19479832.2022.2047801
• Languages: English
• ISSNs: 1947-9832

Abstract

ABSTRACT: In most Mobile Laser Scanning (MLS) applications, filtering is a necessary step. In this paper, a segmentation-based filtering method is proposed for MLS point cloud, where a segment rather than an individual point is the basic processing unit. In particular, the MLS point clouds in some blocks are clustered into segments by a surface growing algorithm, and then the object segments are detected and removed. A segment-based filtering method is employed to detect the ground segments. The experiment in this paper uses two MLS point cloud datasets to evaluate the proposed method. Experiments indicate that, compared with the classic progressive TIN (Triangulated Irregular Network) densification algorithm, the proposed method is capable of reducing the omission error, the commission error and total error by 3.62%, 7.87% and 5.54% on average, respectively.