NDLI: Robust segmentation of building points from airborne LiDAR data and imagery

Content Provider	IEEE Xplore Digital Library
Author	Wei Zhao Liang Cheng Lihua Tong Yongxue Liu Manchun Li
Copyright Year	2011
Description	Author affiliation: Department of Geographical Information Science, Nanjing University, Nanjing, China (Wei Zhao; Liang Cheng; Lihua Tong; Yongxue Liu; Manchun Li)
Abstract	A new approach to segment building points from raw LiDAR data by the integration of LiDAR data and imagery is proposed. The segmentation of coarse building point from LiDAR data is executed by using the algorithm proposed by Zhang et al. [1]. A new dynamic triangle-based algorithm is presented to obtain the precise building points by the refinement of the coarse building data. This new dynamic triangle-based algorithm consists of three steps. Firstly, an erosion operation is applied to the coarse building data, which derives the reliable building points as seed points for the following processing. Secondly, an initial Delaunay triangle-network is constructed based on these seed points and baselines for subsequent triangle-network growing are then selected. Thirdly, suspect points, which are near to building boundaries but not involved in the initial triangle-network, are identified as building points or non-building points by a triangle-network growing strategy considering spatial and spectral information, such as height, slope, roughness, spectrum, and entropy. The experiment demonstrates the proposed approach can derive higher accurate results.
Starting Page	1
Ending Page	5
File Size	249232
Page Count	5
File Format	PDF
ISBN	9781612848495
ISSN	21610258
e-ISBN	9781612848488
DOI	10.1109/GeoInformatics.2011.5980890
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Building point segmentation Image segmentation Laser radar Heuristic algorithms Buildings Vegetation LiDAR Dynamic triangle Entropy Reliability Imagery
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Computer Networks and Communications Information Systems Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
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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