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Accuracy Assessment of DTM Generation Using LIDAR Data  

Yoo Hwan Hee (경상대학교 공과대학 건설공학부)
Kim Seong Sam (경상대학교 대학원 도시공학과)
Chung Dong Ki (경상대학교 대학원 도시공학과)
Hong Jae Min ((재)석곡관측기술연구원)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.23, no.3, 2005 , pp. 261-272 More about this Journal
Abstract
3D models in urban areas are essential for a variety of applications, such as virtual visualization, GIS, and mobile communications. LIDAR (Light Detection and Ranging) is a relatively new technology for obtaining Digital Terrain Models (DTM) of the earth's surface since manual 3D data reconstruction is very costly and time consuming. In this paper an approach to extract ground and non-ground points data from LIDAR data by using filtering is presented and the accuracy for generating DTM from ground points data is evaluated. Numerous filter algorithms have been developed to date. To determine the performance of filtering, we selected three filters which are based on the concepts for height difference, slope, and morphology, and also were applied two different data acquired from high raised apartments areas and low house areas. From the results it has been found that the accuracy for generating DTM from LIDAR data are 0.16 m and 0.59 m in high raised apartments areas and low house areas respectively. We expect that LIDAR data is used to generate the accurate DTM in urban areas.
Keywords
Light Detection and Ranging; Digital Terrain Model; Filtering; Ground points, Non-ground points;
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