Title :
Automated detection of subpixel hyperspectral targets with adaptive multichannel discrete wavelet transform
Author :
Bruce, Lori Mann ; Li, Jiang ; Huang, Yan
Author_Institution :
Electr. & Comput. Eng. Dept., Mississippi State Univ., MS, USA
fDate :
4/1/2002 12:00:00 AM
Abstract :
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%
Keywords :
discrete wavelet transforms; geophysical signal processing; image recognition; remote sensing; AMDWTs; absorption band; adaptive multichannel discrete wavelet transform; automated detection; hyperspectral curve; optimum mother wavelets; subpixel hyperspectral targets; target detection rates; Absorption; Continuous wavelet transforms; Discrete wavelet transforms; Feature extraction; Hyperspectral imaging; Hyperspectral sensors; Object detection; Signal resolution; System testing; Wavelet analysis;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2002.1006394
