Surface feature analysis of ground based LiDAR data

Yo Wei Liu, Yi-Hsing Tseng, Ying Zhe Luo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Ground-based LiDAR shows the potentiality of highly automatic building detection and reconstruction. Due to the main structure of the building are the walls. When a surface feature is extracted from a point cloud, the discrepancies of points to the surface are resulted from the undulation of the scanned object surface. We focus on the analysis of the characteristics of surface features. We use some methods like least squares fitting (LSF) and principal component analysis (PCA) to discuss the different factors such as point density, distribution, noise. The goal of this paper is to investigate the different scanning characteristics how to influence the extraction of the walls. Experimental results of computations with simulated data are shown for analysis.

Original languageEnglish
Title of host publication30th Asian Conference on Remote Sensing 2009, ACRS 2009
Pages1788-1793
Number of pages6
Publication statusPublished - 2009 Dec 1
Event30th Asian Conference on Remote Sensing 2009, ACRS 2009 - Beijing, China
Duration: 2009 Oct 182009 Oct 23

Publication series

Name30th Asian Conference on Remote Sensing 2009, ACRS 2009
Volume3

Other

Other30th Asian Conference on Remote Sensing 2009, ACRS 2009
CountryChina
CityBeijing
Period09-10-1809-10-23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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