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A Study on Building Extraction from LiDAR Data Using LISA  

Byun, Young-Gi (서울대학교 공과대학 지구환경시스템 공학부)
Lee, Jeong-Ho (서울대학교 공과대학 지구환경시스템 공학부)
Son, Jeong-Hoon (서울대학교 공과대학 지구환경시스템 공학부)
Yu, Ki-Yun (서울대학교 공과대학 지구환경시스템 공학부)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.24, no.4, 2006 , pp. 335-341 More about this Journal
Abstract
This paper aims at developing an efficient method that extracts building using local spatial association of raw LiDAR data without setting up empirical variables such as a minimum building area, and applying the method to survey data to evaluate the efficiency of that. To do this, LISA(Local Indicatiors of Spatial Association) statistics are used which reflect local variations that can be appeared in the research area. It can be also a preprocess that detects spatial outliers through the significance test of LISA statistics and interpolate using kernel estimation. Boundaries of buildings as well as buildings can be extracted based on quadrant of Moran Scatterplot. Experimental results show that the proposed method is promising in extracting buildings from LiDAR data automatically.
Keywords
LISA; Loral Moran; Moran Scatterplot; LiDAR;
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