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17 April 2006 Target detection in hyperspectral imagery using one-dimensional fringe-adjusted joint transform correlation
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Abstract
A novel one-dimensional (1D) fringe-adjusted joint transform (FJTC) correlation based technique is proposed for detecting very small targets involving only a few pixels in hyperspectral imagery. In this technique, spectral signatures from the unknown hyperspectral imagery are correlated with the reference signature using the 1D-FJTC technique. This technique can detect both single and/or multiple targets in constant time while accommodating the in-plane and out-of-plane distortion. Test results using real life hyperspectral image cube are presented to verify the effectiveness of the proposed technique.
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M. S. Alam and S. Ochilov "Target detection in hyperspectral imagery using one-dimensional fringe-adjusted joint transform correlation", Proc. SPIE 6245, Optical Pattern Recognition XVII, 624505 (17 April 2006); https://doi.org/10.1117/12.666666
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