Deterministic hyperspectral target detection using the DWT and spectral fringe-adjusted joint transform correlation

Wesam A. Sakla; Adel A. Sakla; M. S. Alam

doi:10.1117/12.776550

14 April 2008 Deterministic hyperspectral target detection using the DWT and spectral fringe-adjusted joint transform correlation

Wesam A. Sakla, Adel A. Sakla, M. S. Alam

Author Affiliations +

Proceedings Volume 6967, Automatic Target Recognition XVIII; 69670B (2008) https://doi.org/10.1117/12.776550
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

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.

Citation Download Citation

Wesam A. Sakla, Adel A. Sakla, and M. S. Alam "Deterministic hyperspectral target detection using the DWT and spectral fringe-adjusted joint transform correlation", Proc. SPIE 6967, Automatic Target Recognition XVIII, 69670B (14 April 2008); https://doi.org/10.1117/12.776550

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