Classification of airborne laser scanning data based on statistics of height information

Hangbin Wu; Chun Liu

doi:10.1117/12.813209

7 November 2008 Classification of airborne laser scanning data based on statistics of height information

Hangbin Wu, Chun Liu

Proceedings Volume 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images; 714709 (2008) https://doi.org/10.1117/12.813209
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

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.

Citation Download Citation

Hangbin Wu and Chun Liu "Classification of airborne laser scanning data based on statistics of height information", Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 714709 (7 November 2008); https://doi.org/10.1117/12.813209

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KEYWORDS

LIDAR

Image segmentation

Image processing

Image processing algorithms and systems

Statistical analysis

Airborne laser technology

Digital image processing

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