NDLI: Semiautomated Building Facade Footprint Extraction From Mobile LiDAR Point Clouds

Content Provider	IEEE Xplore Digital Library
Author	Bisheng Yang Zheng Wei Qingquan Li Li, J.
Copyright Year	2004
Abstract	This letter presents a novel method for automated footprint extraction of building facades from mobile LiDAR point clouds. The proposed method first generates the georeferenced feature image of a mobile LiDAR point cloud and then uses image segmentation to extract contour areas which contain facade points of buildings, points of trees, and points of other objects in the georeferenced feature image. After all the points in each contour area are extracted, a classification based on principal component analysis (PCA) method is adopted to identify building objects from point clouds extracted in contour areas. Then, all the points in a building object are segmented into different planes using the random sample consensus algorithm. For each building, points in facade planes are chosen to calculate the direction, the start point, and the end point of the facade footprints using PCA. Finally, footprints of different facades of building are refined, harmonized, and joined. Two data sets of downtown areas and one data set of a residential area captured by Optech's LYNX mobile mapping system were tested to verify the validities of the proposed method. Experimental results show that the proposed method provides a promising and valid solution for automatically extracting building facade footprints from mobile LiDAR point clouds.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	766
Ending Page	770
Page Count	5
File Size	831418
File Format	PDF
ISSN	1545598X
Volume Number	10
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Buildings Feature extraction Laser radar Mobile communication Data mining Eigenvalues and eigenfunctions Vegetation mobile LiDAR Building facades footprint extraction
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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