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Proceedings Paper

Classification of airborne laser scanning data based on statistics of height information
Author(s): Hangbin Wu; Chun Liu
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Paper Abstract

This paper presents two new methods for segmentation of LIDAR points data by height histogram analysis. In this researcch, height information slicing is first conducted by height interval or number of dispersion, and histogram is performed by statistics of sliced height information. Then height histogram is analyzed to determine the segmentation mode. According to the different segmentation mode, certain optimal threshold algorithms are chosen and applied to histogram, and optimal threshold or series of optimal thresholds are obtained to finish the division process. The two methods, Multi-thresholds By Total Histogram and Multi-thresholds By Subarea Histogram, are discussed and implemented to a certain data set. At the end of the paper, some case studies are given to achieve the segmentation results and effects of slice number and the chosen algorithms are compared.

Paper Details

Date Published: 7 November 2008
PDF: 11 pages
Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 714709 (7 November 2008); doi: 10.1117/12.813209
Show Author Affiliations
Hangbin Wu, Tongji Univ. (China)
Chun Liu, Tongji Univ. (China)
Key Lab. of Advanced Engineering Surveying of SBSM (China)


Published in SPIE Proceedings Vol. 7147:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang, Editor(s)

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