| Titre : |
3D segmentation of forest structure using an adaptive mean shift based procedure |
| Type de document : |
Article/Communication |
| Auteurs : |
António Ferraz  , Auteur ; Frédéric Bretar, Auteur ; Stéphane Jacquemoud, Auteur ; Gil Rito-Gonçalves , Auteur ; Luisa Pereira, Auteur |
| Editeur : |
Fribourg [Allemagne] : University of Freiburg |
| Année de publication : |
2010 |
| Conférence : | SilviLaser 2010, 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems 14/09/2010 17/09/2010 Fribourg Allemagne | | Importance : |
pp 281 - 291 |
| Note générale : |
bibliographie |
| Langues : |
Anglais (eng) |
| Descripteur : |
[Vedettes matières IGN] Lasergrammétrie
[Termes IGN] algorithme de décalage moyen
[Termes IGN] barycentre
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Eucalyptus globulus
[Termes IGN] Pinus pinaster
[Termes IGN] Portugal
[Termes IGN] semis de points
[Termes IGN] strate végétale
|
| Résumé : |
(auteur) Plant communities display a vertical structure based on the size and growth pattern of the dominant species. To a large extent, this pattern, called vertical stratification, depends on the climatic zone. Vertical structure analysis consists in detecting the number of layers and their limits within a forest stand. So far, there is a lack of robust approaches applied to airborne laser scanning (ALS) data that properly segment the different strata of forests having complex structures. In this study, we propose a procedure to characterize vertical forest stratification based on the mean shift (MS) algorithm. The MS is a non-linear filter that searches for local density maxima (modes). It is a non-parametric and unsupervised approach, which only requires a single criterion, the kernel bandwidth. Since the forest point cloud is a multi-modal distribution, the MS is used to find the modes which are supposed to be the barycenters of vegetation features. Once achieved, the modes are grouped together according to height range and the corresponding ALS points are assigned to each vegetation strata. Due to their complex pattern, using a single scale over the whole space is not recommended for the analysis of such environments. On this basis, the modes are computed using a variable kernel bandwidth according to the forest pattern. To depict such a pattern, we propose a new technique that segments the main forest layers at the plot level: overstory, understory, and surface vegetation. The procedure has been carried out on 45 plots of a Portuguese forest mainly composed of eucalyptus (Eucalyptus globulus) and pine (Pinus pinaster) trees that can be strongly populated by understory and surface vegetation. |
| Numéro de notice : |
C2010-020 |
| Affiliation des auteurs : |
MATIS+Ext (1993-2011) |
| Thématique : |
FORET/IMAGERIE |
| Nature : |
Communication |
| DOI : |
sans |
| Permalink : |
https://documentation.ensg.eu/index.php?lvl=notice_display&id=83729 |
3D segmentation of forest structure using an adaptive mean shift based procedure [Article/Communication] / António Ferraz , Auteur ; Frédéric Bretar, Auteur ; Stéphane Jacquemoud, Auteur ; Gil Rito-Gonçalves , Auteur ; Luisa Pereira, Auteur . - Fribourg [Allemagne] : University of Freiburg, 2010 . - pp 281 - 291. bibliographie Langues : Anglais ( eng) | Descripteur : |
[Vedettes matières IGN] Lasergrammétrie
[Termes IGN] algorithme de décalage moyen
[Termes IGN] barycentre
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Eucalyptus globulus
[Termes IGN] Pinus pinaster
[Termes IGN] Portugal
[Termes IGN] semis de points
[Termes IGN] strate végétale
|
| Résumé : |
(auteur) Plant communities display a vertical structure based on the size and growth pattern of the dominant species. To a large extent, this pattern, called vertical stratification, depends on the climatic zone. Vertical structure analysis consists in detecting the number of layers and their limits within a forest stand. So far, there is a lack of robust approaches applied to airborne laser scanning (ALS) data that properly segment the different strata of forests having complex structures. In this study, we propose a procedure to characterize vertical forest stratification based on the mean shift (MS) algorithm. The MS is a non-linear filter that searches for local density maxima (modes). It is a non-parametric and unsupervised approach, which only requires a single criterion, the kernel bandwidth. Since the forest point cloud is a multi-modal distribution, the MS is used to find the modes which are supposed to be the barycenters of vegetation features. Once achieved, the modes are grouped together according to height range and the corresponding ALS points are assigned to each vegetation strata. Due to their complex pattern, using a single scale over the whole space is not recommended for the analysis of such environments. On this basis, the modes are computed using a variable kernel bandwidth according to the forest pattern. To depict such a pattern, we propose a new technique that segments the main forest layers at the plot level: overstory, understory, and surface vegetation. The procedure has been carried out on 45 plots of a Portuguese forest mainly composed of eucalyptus (Eucalyptus globulus) and pine (Pinus pinaster) trees that can be strongly populated by understory and surface vegetation. |
| Numéro de notice : |
C2010-020 |
| Affiliation des auteurs : |
MATIS+Ext (1993-2011) |
| Thématique : |
FORET/IMAGERIE |
| Nature : |
Communication |
| DOI : |
sans |
| Permalink : |
https://documentation.ensg.eu/index.php?lvl=notice_display&id=83729 |
|  |
Proceedings Silvilaser 2010, The 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems, September 14th - 17th, 2010 Freiburg, Germany (2010)
3D segmentation of forest structure using an adaptive mean shift based procedure (2010)
