Automated detection of subpixel hyperspectral targets with adaptive multichannel discrete wavelet transform

This paper introduces the use of adaptive multichannel discrete wavelet transforms (AMDWTs), allowing for a customized design of optimum mother wavelets, for the detection of a constituent absorption band within a hyperspectral curve. Even when the target's amplitude is only 3% of the backgroun...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2002-04, Vol.40 (4), p.977-980
Main Authors: Bruce, L.M., Jiang Li, Yan Huang
Format: Article
Language:English
Subjects:
Absorption
Absorption spectra
Amplitudes
Applied geophysics
Continuous wavelet transforms
Discrete Wavelet Transform
Discrete wavelet transforms
Earth sciences
Earth, ocean, space
Exact sciences and technology
Feature extraction
Hyperspectral imaging
Hyperspectral sensors
Internal geophysics
Multichannel
Object detection
Optimization
Remote sensing
Signal resolution
System testing
Target detection
Wavelet
Wavelet analysis
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Description
Summary:This paper introduces the use of adaptive multichannel discrete wavelet transforms (AMDWTs), allowing for a customized design of optimum mother wavelets, for the detection of a constituent absorption band within a hyperspectral curve. Even when the target's amplitude is only 3% of the background signal's amplitude, the AMDWT approach produces target detection rates of 90%.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2002.1006394