Estimation of cluster centers on building roof from LiDAR footprints

Deming Kong, Lijun Xu, Xiaolu Li, Weiwei Xing

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

7 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Imaging Systems and Techniques Proceedings
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages254-258
Number of pages5
ISBN (Print)9781457717741
DOIs
Publication statusPublished - 2012
Externally publishedYes
EventIEEE International Conference on Imaging Systems and Techniques 2012 - Manchester, United Kingdom
Duration: 16 Jul 201217 Jul 2012
Conference number: 9th
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6295602

Conference

ConferenceIEEE International Conference on Imaging Systems and Techniques 2012
Abbreviated titleIST 2012
CountryUnited Kingdom
CityManchester
Period16/07/1217/07/12
Internet address

Keywords

  • cluster center
  • elevation image
  • feature line
  • Light Detection And Ranging (LiDAR)
  • segmentation of point cloud

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