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Proceedings Paper

Deterministic hyperspectral target detection using the DWT and spectral fringe-adjusted joint transform correlation
Author(s): Wesam A. Sakla; Adel A. Sakla; M. S. Alam
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Paper Abstract

Recently, the 1-D spectral fringe-adjusted joint transform correlation (SFJTC) technique has been proposed as an effective means for performing deterministic target detection in hyperspectral imagery. In this work, we explore the use of the discrete wavelet transform (DWT) as a pre-processing tool for SFJTC-based target detection. To quantify improvement and compare performance in the detection process, receiver operating characteristic (ROC) curves are generated and the areas under the ROC curves (AUROC) are computed. The basic premise of this work is that selected coefficients generated from a desired level of the DWT decomposition of the data can be used in place of the original data for improved SFJTC-based detection. We illustrate this by conducting experiments on two different hyperspectral scenes containing varying amounts of simulated noise. Results indicate that use of the DWT coefficients significantly improves the detection performance, especially in the presence of noise.

Paper Details

Date Published: 14 April 2008
PDF: 11 pages
Proc. SPIE 6967, Automatic Target Recognition XVIII, 69670B (14 April 2008); doi: 10.1117/12.776550
Show Author Affiliations
Wesam A. Sakla, Texas A&M Univ. (United States)
Adel A. Sakla, Univ. of South Alabama (United States)
M. S. Alam, Univ. of South Alabama (United States)

Published in SPIE Proceedings Vol. 6967:
Automatic Target Recognition XVIII
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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