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Detection of Forest Areas using Airborne LIDAR Data  

Hwang, Se-Ran (서울시립대학교 공간정보공학과)
Kim, Seong-Joon (서울시립대학교 공간정보공학과)
Lee, Im-Pyeong (서울시립대학교 공간정보공학과)
Publication Information
Spatial Information Research / v.18, no.3, 2010 , pp. 23-32 More about this Journal
Abstract
LIDAR data are useful for forest applications such as bare-earth DEM generation for forest areas, and estimation of tree height and forest biomass. As a core preprocessing procedure for most forest applications, this study attempts to develop an efficient method to detect forest areas from LIDAR data. First, we suggest three perceptual cues based on multiple return characteristics, height deviation and spatial distribution, being expected as reliable perceptual cues for forest area detection from LIDAR data. We then classify the potential forest areas based on the individual cue and refine them with a bi-morphological process to eliminate falsely detected areas and smoothing the boundaries. The final refined forest areas have been compared with the reference data manually generated with an aerial image. All the methods based on three types of cues show the accuracy of more than 90%. Particularly, the method based on multiple returns is slightly better than other two cues in terms of the simplicity and accuracy. Also, it is shown that the combination of the individual results from each cue can enhance the classification accuracy.
Keywords
LIDAR Data; Perceptual Cue; Detection; Forest; Tree;
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Times Cited By KSCI : 3  (Citation Analysis)
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