Target detection algorithm in hyperspectral imaging using parametric model

Edisanter Lo

doi:10.1117/12.609505

1 June 2005 Target detection algorithm in hyperspectral imaging using parametric model

Edisanter Lo

Proceedings Volume 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI; (2005) https://doi.org/10.1117/12.609505
Event: Defense and Security, 2005, Orlando, Florida, United States

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.

Citation Download Citation

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); https://doi.org/10.1117/12.609505

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