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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 50, Iss. 28 — Oct. 1, 2011
  • pp: 5545–5554

Hyperspectral target detection via discrete wavelet-based spectral fringe-adjusted joint transform correlation

Adel A. Sakla, Wesam A. Sakla, and Mohammad S. Alam  »View Author Affiliations

Applied Optics, Vol. 50, Issue 28, pp. 5545-5554 (2011)

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Spectral variability remains a major challenge for target detection in hyperspectral imagery (HSI). Recently, the spectral fringe-adjusted joint transform correlation (SFJTC) technique has been used effectively for hyperspectral target detection applications. In this paper, we propose to use discrete wavelet transform (DWT) coefficients of the signatures as features for detection in order to make the SFJTC technique more insensitive to spectral variability. We devised a supervised training algorithm that uses the pure target signature and randomly selected samples from input scenery to select an optimal set of DWT coefficients for detection. We have inserted target signatures into urban and vegetative hyperspectral scenery with varying levels of spectral variability to explore the performance of our DWT-based SFJTC technique in different operating conditions. Detection results in the form of receiver-operating-characteristic (ROC) curves and area-under-the-ROC (AUROC) curves show that the proposed scheme yields the largest mean AUROC values compared to SFJTC using the original signatures and traditional hyperspectral detection algorithms.

© 2011 Optical Society of America

OCIS Codes
(100.0100) Image processing : Image processing
(100.2000) Image processing : Digital image processing
(100.4145) Image processing : Motion, hyperspectral image processing

ToC Category:
Image Processing

Original Manuscript: March 7, 2011
Revised Manuscript: July 27, 2011
Manuscript Accepted: August 30, 2011
Published: September 30, 2011

Adel A. Sakla, Wesam A. Sakla, and Mohammad S. Alam, "Hyperspectral target detection via discrete wavelet-based spectral fringe-adjusted joint transform correlation," Appl. Opt. 50, 5545-5554 (2011)

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