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http://dx.doi.org/10.7319/kogsis.2013.21.1.039

Automatic Tree Extraction Using LIDAR Data  

Lee, Su Jee (Department of GIS Engineering, Namseoul University)
Kim, Eui Myoung (Department of GIS Engineering, Namseoul University)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.21, no.1, 2013 , pp. 39-44 More about this Journal
Abstract
Trees are important ground objects that cause oxygen and reduce carbon dioxide in urban areas. For management of the trees, many studies using LIDAR data have been conducted. But, they rely on overseas developed LIDAR data processing software applications because there is a lack of domestically developed software applications. Therefore, this work was intended to propose an automation process that helps to extract trees automatically from LIDAR data. The proposed process has the function to classify LIDAR data and to extract building regions and trees automatically. It was applied to a study place in Yongin to conduct a test. As a result, about 88% of trees were extracted from the automation process.
Keywords
LIDAR; Tree Extraction; Automation Process; Software; Ground Objects;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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