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In this paper, a new discrimination scheme is proposed for classifying multi-group hyperspectral image. The smooth localized complex exponentials (SLEX) library and a modified Bottom-Up Generalized Local Discriminant Bases (MGLDB-BU) algorithm are adopted for extracting ideal features for discrimination. With the extracted features, a mechanism based on Chernoff information is employed for classification. The effectiveness of the proposed scheme as compared to DAFE and NWFE is reported using real hyperspectral image dataset, Washington DC Mall.
Published in:
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Date of Conference: July 31 2006-Aug. 4 2006
- Page(s):
- 553 - 556
- Print ISBN:
- 0-7803-9510-7
- INSPEC Accession Number:
- 10251960
- Conference Location :
- Denver, CO
- Digital Object Identifier :
- 10.1109/IGARSS.2006.146
- Product Type:
- Conference Publications
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