Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W5, 159-162, 2015
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/159/2015/
doi:10.5194/isprsarchives-XL-1-W5-159-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
10 Dec 2015
DESIGN A FILTER TO DETECT AND REMOVE VEGETATION FROM ULTRA-CAM-X AERIAL IMAGES’ POINT CLOUD TO PRODUCE AUTOMATICALLY DIGITAL ELEVATION MODEL
H. Enayati1, M. Veissy1, and F. Rahimpour2 1MSc degree of photogrammetry, K.N. Toosi University of Technology, Tehran, Iran
2MSc degree of RS&GIS, Faculty of Environment, Islamic Azad University of Science and Research, Tehran, Iran
Keywords: Ultra-cam-x, point clouds, vegetation detection, filtering, DEM generation Abstract. Digital elevation model is one of the most important spatial information for displaying bare earth. Because of existing objects on the ground, manual editing is unavoidable. Aerial images’ point clouds produced by advanced matching methods are good resources for generating DEM. In this paper, the purpose is design a filter for detect and eliminate vegetation from point clouds. For this purpose, point clouds’ texture is used for finding vegetation. Texture of point clouds is segmented by Otsu method. In the next step, segmented image is added to raster of elevation and vegetation elevation is detected. Results is showing that point clouds’ texture is a good data for filtering vegetation and generating DEM automatically.
Conference paper (PDF, 1038 KB)


Citation: Enayati, H., Veissy, M., and Rahimpour, F.: DESIGN A FILTER TO DETECT AND REMOVE VEGETATION FROM ULTRA-CAM-X AERIAL IMAGES’ POINT CLOUD TO PRODUCE AUTOMATICALLY DIGITAL ELEVATION MODEL, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W5, 159-162, doi:10.5194/isprsarchives-XL-1-W5-159-2015, 2015.

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