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Meena Mani
Former Master Student, Mode de Vie
 Keywords : Parameter Estimation, Texture, Trees / Forest
 Project : Mode de Vie
 Demo : see this author's demo
 Contact :
| Mail : | | meenadotmaniatinriadotfr | | Phone : | | (33)4-92-38-75-68 | | Fax : | | (33)4-92-38-76-43 | | Postal adress : | | INRIA Sophia Antipolis
2004, Route des Lucioles
06902 Sophia Antipolis Cedex
France. |
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| Abstract :
Some of the problems I am working on in connection with the "Mode de Vie" project are:
- Classification of high resolution aerial images of trees using statistical techniques.
- Calibration of high resolution aerial images of trees using plant models. |
Last publications in Ariana Research Group :
Tree Species Classification Using Radiometry, Texture and Shape Based Features.
M. S. Kulikova and M. Mani and A. Srivastava and X. Descombes and J. Zerubia. In Proc. European Signal Processing Conference (EUSIPCO), 2007.
Keywords : shape based features, SVM, tree classification.
@INPROCEEDINGS{Kulikova07,
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| author |
= |
{Kulikova, M. S. and Mani, M. and Srivastava, A. and Descombes, X. and Zerubia, J.}, |
| title |
= |
{Tree Species Classification Using Radiometry, Texture and Shape Based Features}, |
| year |
= |
{2007}, |
| booktitle |
= |
{Proc. European Signal Processing Conference (EUSIPCO)}, |
| pdf |
= |
{http://hal.archives-ouvertes.fr/docs/00/46/55/05/PDF/Kulikova_EUSIPCO2007.pdf}, |
| keyword |
= |
{shape based features, SVM, tree classification} |
| } |
Abstract :
We consider the problem of tree species classification from high resolution aerial images based on radiometry, texture and a shape modeling. We use the notion of shape space proposed by Klassen et al., which provides a shape description invariant to translation, rotation and scaling. The shape features are extracted within a geodesic distance in the shape space. We then perform a classification using a SVM approach. We are able to show that the shape descriptors improve the classification performance relative to a classifier based on radiometric and textural descriptors alone. We obtain these results using high resolution Colour InfraRed (CIR) aerial images provided by the Swedish University of Agricultural Sciences. The image viewpoint is close to the nadir, i.e. the tree crowns are seen from above. |
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All publications in Ariana Research Group
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