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|title: ||3D segmentation of forest structure using a mean-shift based algorithm|
|authors: ||Ferraz, A.|
Gomes Pereira, L.
|keywords: ||Airborne laser scanning|
Forest vertical structure
|issue date: ||26-Sep-2010|
|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.|
|publisher version/DOI: ||http://dx.doi.org/10.1109/ICIP.2010.5651310|
|source: ||ICIP 2010: 17th IEEE International Conference on Image Processing|
|appears in collections||ESTGA - Comunicações|
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