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Mapping ash tree colonization in an agricultural mountain landscape: Investigating the potential of hyperspectral imagery
- Source :
- IGARSS, IEEE International Geoscience and Remote Sensing Symposium Proceedings, 2011 IEEE International Geoscience & Remote Sensing Symposium, 2011 IEEE International Geoscience & Remote Sensing Symposium, Jul 2011, Vancouver, Canada. ⟨10.1109/IGARSS.2011.6050021⟩
- Publication Year :
- 2011
- Publisher :
- IEEE, 2011.
-
Abstract
- International audience; In this contribution, we evaluate the potential of hyperspectral imagery for identifying ash tree and other dominant species in encroached mountain grasslands. The method is based on a supervised approach using Support Vector Machines in which kernel parameters are fixed by kernel alignment. We present the application of the method and the first results obtained. The statistical measures derived from the confusion matrix show that tree species are well discriminated with accuracies > 90%. These results confirm the possibility of detecting tree species with this data and the performance of the SVM classifier.
- Subjects :
- [SDV]Life Sciences [q-bio]
SVM CLASSIFIER
0211 other engineering and technologies
Hyperspectral imaging
Confusion matrix
020206 networking & telecommunications
02 engineering and technology
15. Life on land
TREE SPECIES DETECTION
[SHS]Humanities and Social Sciences
Kernel alignment
Support vector machine
Svm classifier
Kernel (image processing)
FRAXINUS EXCELSIOR L
HYPERSPECTRAL IMAGERY
0202 electrical engineering, electronic engineering, information engineering
ENCROACHED GRASSLANDS
IMAGERIE SPECTRALE
Tree species
ECOLOGIE
021101 geological & geomatics engineering
Remote sensing
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2011 IEEE International Geoscience and Remote Sensing Symposium
- Accession number :
- edsair.doi.dedup.....e7a639d08afe9c89b48e1b60e55018e1