NDLI: 3D segmentation of forest structure using a mean-shift based algorithm

Content Provider	IEEE Xplore Digital Library
Author	Ferraz, A. Bretar, F. Jacquemoud, S. Gonçalves, G. Pereira, L.
Copyright Year	2010
Description	Author affiliation: INESCC, Instituto de Engenharia de Sistemas e Computadores de Coimbra, PORTUGAL (Gonçalves, G.) \|\| IPGP, Institut de Physique du Globe de Paris, Space and Planetary Geophysics, FRANCE (Jacquemoud, S.) \|\| IGN, Institut Geographique National, MATIS Laboratory, Saint Mandé, FRANCE (Ferraz, A.; Bretar, F.) \|\| UA, Universidade de Aveiro, Escola Superior de Tecnologia e Gestão de Águeda, PORTUGAL (Pereira, L.)
Abstract	Consistent and accurate information on 3D forest canopy structure is required by many applications like forest inventory, management, logging, fuel mapping, habitat studies or biomass estimate. Compared to other remote sensing techniques (e.g., SAR or photogrammetry), airborne laser scanning is an adapted tool to provide such information by generating a three-dimensional georeferenced point cloud. Vertical structure analysis consists in detecting the number of layers within a forest stand and their limits. Until now, there is no approach that properly segments the different strata of a forest. In this study, we directly work on the 3D point cloud and we propose a mean shift (MS) based procedure for vertical forest segmentation. The approach that is carried out on complex forest plots improves the discrimination of vegetation strata.
Starting Page	1413
Ending Page	1416
File Size	165696
Page Count	4
File Format	PDF
ISBN	9781424479924
ISSN	15224880
e-ISBN	9781424479948
e-ISBN	9781424479931
DOI	10.1109/ICIP.2010.5651310
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel Clouds Three dimensional displays Vegetation Bandwidth Remote sensing Vegetation mapping Segmentation Airborne Laser Scanning Forest Vertical Structure Mean shift
Content Type	Text
Resource Type	Article

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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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