DocumentCode :
3258929
Title :
Estimation of cluster centers on building roof from LiDAR footprints
Author :
Kong, Deming ; Xu, Lijun ; Li, Xiaolu ; Xing, Weiwei
Author_Institution :
State Key Lab. of Inertial Sci. & Technol., Beihang Univ., Beijing, China
fYear :
2012
fDate :
16-17 July 2012
Firstpage :
254
Lastpage :
258
Abstract :
A new method for the estimation of the cluster centers on the building roof from the LiDAR footprints is proposed. The elevation image of the building roof is obtained by applying gridding method on the data of the point cloud. The distribution areas of edge lines and ridge line on the building roof are respectively extracted through the calculation of morphological gradient of the elevation image and the operation of point detection on the erosion image. By the method of Hough transform, the feature lines of the building roof are obtained from the distribution areas of them. On the basis of number and normal vectors of geometrical planes, which are composed of the feature lines, the number of the clusters and the initial values of the cluster centers on the building roof are obtained. The proposed method is validated by a simulation experiment.
Keywords :
Hough transforms; edge detection; optical radar; radar imaging; roofs; Hough transform; LiDAR footprint; building roof; cluster center estimation; distribution area; edge line extraction; elevation image; erosion image; geometrical plane; gridding method; morphological gradient calculation; normal vector; point detection; ridge line extraction; Buildings; Clustering algorithms; Estimation; Feature extraction; Image edge detection; Laser radar; Vectors; Light Detection And Ranging (LiDAR); cluster center; elevation image; feature line; segmentation of point cloud;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Imaging Systems and Techniques (IST), 2012 IEEE International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-1-4577-1776-5
Type :
conf
DOI :
10.1109/IST.2012.6295541
Filename :
6295541
Link To Document :
بازگشت