SPECTRUM analysis of multispectral imagery in conjunction with wavelet/KLT data compression

Author

Bradley, Jonathan N. ; Brislawn, Christopher M.

Author_Institution

Los Alamos Nat. Lab., NM, USA

fYear

1993

fDate

1-3 Nov 1993

Firstpage

26

Abstract

The data analysis program, SPECTRUM, is used for fusion, visualization, and classification of multispectral imagery. To facilitate data transmission and storage, a compression algorithm is proposed based on spatial wavelet transform coding and KLT decomposition of interchannel spectral vectors, followed by adaptive optimal multiband scalar quantization. The performance of SPECTRUM clustering and visualization is evaluated on compressed multispectral data. 8-bit visualizations of 56-bit data show little visible distortion, at 50:1 compression and graceful degradation at higher compression ratios

Keywords

data compression; data visualisation; image classification; image coding; quantisation (signal); spectral analysis; transform coding; wavelet transforms; KLT decomposition; SPECTRUM; adaptive optimal multiband scalar quantization; classification; clustering; compressed multispectral data; compression algorithm; compression ratios; data analysis program; data storage; data transmission; fusion; interchannel spectral vectors; multispectral imagery; performance; spatial wavelet transform coding; visualization; wavelet/KLT data compression; Compression algorithms; Data analysis; Data communication; Data visualization; Image analysis; Image coding; Karhunen-Loeve transforms; Multispectral imaging; Quantization; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-4120-7

Type

conf

DOI

10.1109/ACSSC.1993.342462

Filename

342462