NDLI: Aerial 3D Building Detection and Modeling From Airborne LiDAR Point Clouds

Content Provider	IEEE Xplore Digital Library
Author	Shaohui Sun Salvaggio, C.
Copyright Year	2008
Abstract	A fast, completely automated method to create 3D watertight building models from airborne LiDAR point clouds is presented. The proposed method analyzes the scene content and produces multi-layer rooftops with complex boundaries and vertical walls that connect rooftops to the ground. A graph cuts based method is used to segment vegetative areas from the rest of scene content. The ground terrain and building rooftop patches are then extracted utilizing our technique, the hierarchical Euclidean clustering. Our method adopts a “divide-and-conquer” strategy. Once potential points on rooftops are segmented from terrain and vegetative areas, the whole scene is divided into individual pendent processing units which represent potential building footprints. For each individual building region, significant features on the rooftop are further detected using a specifically designed region growing algorithm with smoothness constraint. Boundaries for all of these features are refined in order to produce strict description. After this refinement, mesh models could be generated using an existing robust dual contouring method.
Starting Page	1440
Ending Page	1449
Page Count	10
File Size	2482454
File Format	PDF
ISSN	19391404
Volume Number	6
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	modeling 3D building LiDAR vegetation graph cuts region growing
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science Computers in Earth Sciences

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