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http://hdl.handle.net/10773/9263
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ferraz, A. | pt |
dc.contributor.author | Bretar, F. | pt |
dc.contributor.author | Jacquemoud, S. | pt |
dc.contributor.author | Gonçalves, G. | pt |
dc.contributor.author | Gomes Pereira, L. | pt |
dc.date.accessioned | 2012-11-09T14:55:53Z | - |
dc.date.issued | 2010-09-26 | - |
dc.identifier.isbn | 978-1-4244-7993-1 | - |
dc.identifier.isbn | 978-1-4244-7992-4 | - |
dc.identifier.issn | 1522-4880 | - |
dc.identifier.uri | http://hdl.handle.net/10773/9263 | - |
dc.description.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. | pt |
dc.language.iso | eng | pt |
dc.publisher | IEEE | pt |
dc.relation | PTDC/AGR-CFL/70968/2006 | pt |
dc.rights | restrictedAccess | por |
dc.subject | Airborne laser scanning | pt |
dc.subject | Forest vertical structure | pt |
dc.subject | Mean shift | pt |
dc.subject | Segmentation | pt |
dc.title | 3D segmentation of forest structure using a mean-shift based algorithm | pt |
dc.type | conferenceObject | pt |
dc.peerreviewed | yes | pt |
ua.publicationstatus | published | pt |
ua.event.date | 26-29 September, 2010 | pt |
ua.event.type | conference | pt |
degois.publication.firstPage | 1413 | pt |
degois.publication.lastPage | 1416 | pt |
degois.publication.location | Hong Kong | pt |
degois.publication.title | ICIP 2010: 17th IEEE International Conference on Image Processing | pt |
dc.date.embargo | 10000-01-01 | - |
dc.identifier.doi | 10.1109/ICIP.2010.5651310 | pt |
Appears in Collections: | ESTGA - Comunicações |
Files in This Item:
File | Description | Size | Format | |
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ferraz2010_publicado.pdf | Main article | 161.81 kB | Adobe PDF |
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