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Feature extraction of hyperspectral data using the Best Wavelet Packet Basis

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2 Author(s)
Pai-Hui Hsu ; Dept. of Surveying Eng., Nat. Cheng Kung Univ., Tainan, Taiwan ; Yi-Hsing Tseng

An adaptive wavelet decomposition algorithm called the Best Wavelet Packet Basis is used to extract the most useful spectral features from the original hyperspectral data for classification applications. Tested on a set of AVIRIS data, the novel feature extraction method is evaluated and compared with some contemporary feature extraction methods.

Published in:

Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International  (Volume:3 )

Date of Conference:

24-28 June 2002