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http://dx.doi.org/10.17820/eri.2021.8.4.233

Comparative Analysis of Filtering Techniques for Vegetation Points Removal from Photogrammetric Point Clouds at the Stream Levee  

Park, Heeseong (Department of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology)
Lee, Du Han (Department of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology)
Publication Information
Ecology and Resilient Infrastructure / v.8, no.4, 2021 , pp. 233-244 More about this Journal
Abstract
This study investigated the application of terrestrial light detection and ranging (LiDAR) to inspect the defects of the vegetated levee. The accuracy of vegetation filtering techniques was compared by applying filtering techniques on photogrammetric point clouds of a vegetated levee generated by terrestrial LiDAR. Representative 10 vegetation filters such as CIVE, ExG, ExGR, ExR, MExG, NGRDI, VEG, VVI, ATIN, and ISL were applied to point cloud data of the Imjin River levee. The accuracy order of the 10 techniques based on the results was ISL, ATIN, ExR, NGRDI, ExGR, ExG, MExG, VVI, VEG, and CIVE. Color filters show certain limitations in the classification of vegetation and ground and classify grass flower image as ground. Morphological filters show a high accuracy of the classification, but they classify rocks as vegetation. Overall, morphological filters are superior to color filters; however, they take 10 times more computation time. For the improvement of the vegetation removal, combined filters of color and morphology should be studied.
Keywords
Levee vegetation; Photogrammetric point clouds; Terrestrial LiDAR; Vegetation filtering;
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