Subband decompositions for hyperspectral image analysis

Author

Hong, Paul S. ; Smith, Mark J T

Author_Institution

Center for Signal & Image Process., Georgia Inst. of Technol., Atlanta, GA, USA

Volume

1

fYear

2002

fDate

3-6 Nov. 2002

Firstpage

791

Abstract

Several multidimensional filter banks are described and analyzed for the purpose of processing hyperspectral data. A new octave band directional filter bank (OBDFB) is introduced that is able to isolate directional bands in three-dimensional Fourier space. The new OBDFB is a maximally decimated exactly reconstructing representation with high computational efficiency. The OBDFB is compared with traditional octave band and uniform band decompositions with respect to compaction and feature identification for analysis.

Keywords

geophysical signal processing; image classification; image reconstruction; image representation; image segmentation; image texture; multidimensional digital filters; remote sensing; OBDFB; compaction; feature identification; hyperspectral data processing; hyperspectral image analysis; multidimensional filter banks; octave band directional filter bank; subband decomposition; three-dimensional Fourier space; uniform band decomposition; Filter bank; Frequency; Hypercubes; Hyperspectral imaging; Hyperspectral sensors; Image analysis; Image coding; Image segmentation; Passband; Principal component analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-7576-9

Type

conf

DOI

10.1109/ACSSC.2002.1197287

Filename

1197287