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A Segmented Morphology Filter for Airborne LiDAR Data  

Choi, Seung-Sik (한국토지공사 인천지역본부)
Song, Nak-Hyeon (인하대학교 대학원 지리정보공학과)
Cho, Woo-Sug (인하대학교 토목공학과)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.25, no.1, 2007 , pp. 55-62 More about this Journal
Abstract
Recent advances in airborne LiDAR technology allow rapid and inexpensive measurements of topography over large areas. The generation of DTM/DEM is essential to numerous applications such as the fields of civil engineering, environment, city planning and flood modeling. The demand for LiDAR data is increasing due to the reduced cost for DTM generation and the increased reliability, precision and completeness. In order to generate DTM, measurements from non-ground features such as building and vegetation have to be classified and removed. In this paper, a segmented morphology filter was developed to detect non-ground LiDAR measurements. First, segments LiDAR point clouds based on the elevation. Secondly classifies those protruding segments into non-ground points. Those non-ground points such as building and vegetation are removed, while ground points are preserved for DTM generation. For experiments, data sets used in Comparison of Filters (ISPRS, 2003) depicting urban and rural areas were selected. The experimental results show that the proposed filter can remove most of the non-ground points effectively with less commission and omission errors.
Keywords
LiDAR; Filtering; DTM; DEM; Segmentation;
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Times Cited By KSCI : 1  (Citation Analysis)
Times Cited By SCOPUS : 0
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