Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10773/9263
Título: | 3D segmentation of forest structure using a mean-shift based algorithm |
Autor: | Ferraz, A. Bretar, F. Jacquemoud, S. Gonçalves, G. Gomes Pereira, L. |
Palavras-chave: | Airborne laser scanning Forest vertical structure Mean shift Segmentation |
Data: | 26-Set-2010 |
Editora: | IEEE |
Resumo: | 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. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/9263 |
DOI: | 10.1109/ICIP.2010.5651310 |
ISBN: | 978-1-4244-7993-1 978-1-4244-7992-4 |
ISSN: | 1522-4880 |
Aparece nas coleções: | ESTGA - Comunicações |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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ferraz2010_publicado.pdf | Main article | 161.81 kB | Adobe PDF |
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