학술논문
Mapping ash tree colonization in an agricultural mountain landscape: Investigating the potential of hyperspectral imagery
Document Type
Conference
Author
Source
2011 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International. :3672-3675 Jul, 2011
Subject
Language
ISSN
2153-6996
2153-7003
2153-7003
Abstract
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.