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 3D segmentation of forest structure using a mean-shift based algorithm
Please use this identifier to cite or link to this item http://hdl.handle.net/10773/9263

title: 3D segmentation of forest structure using a mean-shift based algorithm
authors: Ferraz, A.
Bretar, F.
Jacquemoud, S.
Gonçalves, G.
Gomes Pereira, L.
keywords: Airborne laser scanning
Forest vertical structure
Mean shift
Segmentation
issue date: 26-Sep-2010
publisher: IEEE
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. Com- pared to other remote sensing techniques (e.g., SAR or photogram- metry), 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.
URI: http://hdl.handle.net/10773/9263
ISBN: 978-1-4244-7993-1
978-1-4244-7992-4
ISSN: 1522-4880
publisher version/DOI: http://dx.doi.org/10.1109/ICIP.2010.5651310
source: ICIP 2010: 17th IEEE International Conference on Image Processing
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