DocumentCode :
2674749
Title :
Single tree modeling and vegetation visualization using lidar data
Author :
Guo, Jun ; Niu, Zheng
Author_Institution :
State Key Lab. of Remote Sensing Sci., Chinese Acad. of Sci., Beijing, China
Volume :
5
fYear :
2010
fDate :
27-29 March 2010
Firstpage :
1
Lastpage :
5
Abstract :
Two applications of Lidar in three-dimensional visualization were proposed. The first one was single tree modeling. Regional-Maximum and K-means algorithm were used to isolate one single tree and its data points, and a SuperQuadric surface was fit as the silhouette of the tree´s canopy. Then a geometric tree model was obtained with L-studio software. The second application was 3D vegetation visualization using DCM (Digital Canopy Model) to control the location of every single tree. DCM was calculated by subtracting DTM (Digital Terrain Model) form DSM (Digital Surface Model). DCM was a direct reflection of above-ground vegetation height, so it was used to determine whether a coniferous tree, deciduous tree or grass should be planted inside the DTM triangles.
Keywords :
data visualisation; optical radar; vegetation; virtual reality; 3D vegetation visualization; K-means algorithm; Lidar data; SuperQuadric surface; coniferous tree; deciduous tree; digital canopy model; digital surface model; digital terrain model; geometric tree model; regional maximum; single tree modeling; tree canopy; vegetation visualization; Data mining; Data visualization; Forestry; Laboratories; Laser radar; Optical reflection; Remote sensing; Surface fitting; Testing; Vegetation mapping; DCM; Lidar; tree modeling; vegetation visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
Type :
conf
DOI :
10.1109/ICACC.2010.5486871
Filename :
5486871
Link To Document :
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