Classification of Airborne Laser Scanning Data Based on Statistics of Height Information
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.
Statistics Histogram Data Segmentation Optimal Threshold
Wu Hangbin Liu Chun
Department of Survey and Geo-Informatics,Tongji University,Shanghai,200092 Department of Survey and Geo-Informatics,Tongji University,Shanghai,200092;Key Laboratory of Advance
国际会议
第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)
广州
英文
2008-06-28（万方平台首次上网日期，不代表论文的发表时间）