文章基本信息

标题：Comparison of Tree Extraction from Intensity Drop and From Multiple Returns in ALS Data
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作者：C. Örmeci ; S. Cesur
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B1
页码：427-432
出版社：Copernicus Publications
摘要：LIDAR is an application widely open as an area of study for modelling detailed topographic maps. It is generally used in airborne applications. In this study, the aim is tree extraction from a data having the 3D coordinates of first and last returns, and intensity data. The data used is from the city center of Stuttgart/Germany and includes large and irregularly shaped buildings and road with a bridge and tunnel. Two methods were compared. In the first method, the algorithm searched for neighboring points with low intensities. The points with lower intensity than the treshold represented trees, as trees cause absorption. In the secon method, the algorithm searched for the points that had height difference between the first and last returns. These point clouds were effective on tree extraction, as trees cause multiple returns. The density of trees in the first method was poorer than in the second, while in the second method, balconies and corners of the buildings were seen as trees. As a result, the second method is better on tree extraction, however an additional edge-detecting filter is needed
关键词：LIDAR data; Tree extraction; Airborne Laser Scanner; Three dimensional; Intensity Drop; Multiple Returns