1 June 2005 Target detection algorithm in hyperspectral imaging using parametric model
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Abstract
A supervised subpixel target detection algorithm based on parametric general linear model using whitening transformation for hyperspectral imaging is developed. Statistical tests are described to assess the performance of the algorithm in comparison with the corresponding classical approach. Numerical results are presented to show that the parametric algorithm using low-order models can adequately represent the classical model.
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Edisanter Lo, "Target detection algorithm in hyperspectral imaging using parametric model", Proc. SPIE 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, (1 June 2005); doi: 10.1117/12.609505; https://doi.org/10.1117/12.609505
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KEYWORDS
Detection and tracking algorithms

Hyperspectral imaging

Algorithm development

Monte Carlo methods

Computer simulations

Target detection

Error analysis

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