NDLI: Estimation of cluster centers on building roof from LiDAR footprints

Content Provider	IEEE Xplore Digital Library
Author	Deming Kong Lijun Xu Xiaolu Li Weiwei Xing
Copyright Year	2012
Description	Author affiliation: State Key Laboratory of Inertial Science and Technology, School of Instrument Science and Opto-electronic Engineering, Beihang University, Beijing, China (Deming Kong; Lijun Xu; Xiaolu Li; Weiwei Xing)
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.
Starting Page	254
Ending Page	258
File Size	363932
Page Count	5
File Format	PDF
ISBN	9781457717765
e-ISBN	9781457717758
DOI	10.1109/IST.2012.6295541
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-16
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Laser radar Buildings Feature extraction Clustering algorithms Image edge detection Estimation Vectors feature line Light Detection And Ranging (LiDAR) segmentation of point cloud cluster center elevation image
Content Type	Text
Resource Type	Article

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