Hyperspectral outlier detector based on conditional distributions

Edisanter Lo

doi:10.1117/12.851486

12 May 2010 Hyperspectral outlier detector based on conditional distributions

Edisanter Lo

Proceedings Volume 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI; 769506 (2010) https://doi.org/10.1117/12.851486
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

An outlier detection algorithm for hyperspectral imaging based on likelihood ratio test is presented in this article. The null hypothesis tests if a test pixel is from the conditional distribution of the pixel given the background subspace and the alternative hypothesis tests if a test pixel is from the conditional distribution of the pixel given the target subspace. Using principal components for the complementary subspaces, a practical outlier detector is developed and is compared to conventional outlier detectors using a VNIR hyperspectral imagery.

Citation Download Citation

Edisanter Lo "Hyperspectral outlier detector based on conditional distributions", Proc. SPIE 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 769506 (12 May 2010); https://doi.org/10.1117/12.851486

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