Referenced Items are not available for this document.
Using in situ hyperspectral measurements collected in the Sierra Nevada Mountains in California, the authors discriminate six species of conifer trees using a recent, nonparametric statistics technique known as penalized discriminant analysis (PDA). A classification accuracy of 76% is obtained. Their emphasis is on providing an intuitive, geometric description of PDA that makes the advantages of penalization clear. PDA is a penalized version of Fisher's linear discriminant analysis (LDA) and can greatly improve upon LDA when there are a large number of highly correlated variables
Published in:
Geoscience and Remote Sensing, IEEE Transactions on
(Volume:37
,
Issue:
5
)
Date of Publication: Sep 1999
- Page(s):
- 2569 - 2577
- ISSN :
- 0196-2892
- INSPEC Accession Number:
- 6373219
- Digital Object Identifier :
- 10.1109/36.789651
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Sep 1999
- Sponsored by :
- IEEE Geoscience and Remote Sensing Society
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