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Generalized Likelihood Ratio Test for Modified Replacement Model in Hyperspectral Imaging Detection

Vincent, François and Besson, Olivier Generalized Likelihood Ratio Test for Modified Replacement Model in Hyperspectral Imaging Detection. (2019) Signal Processing. ISSN 0165-1684 (Unpublished)

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Abstract

The replacement model, which assumes that the abundances sum up to one, is often advocated for subpixel target detection in hyperspectral imaging, and various detection schemes based on this model have been developed in the literature. However, in practical situations, this unitary constraint may be too strong due to possible attenuation of the target bidirectional re ectance distribution function, signature mismatches or impediments in the radiometric corrections. In this paper, we relax this unitary constraint and consider a modified replacement model. One step and two steps generalized likelihood ratio tests are developed for the proposed model and compared to standard solutions through numerical simulations. A real data experiment attests to the validity of the proposed approach.

Item Type:Article
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
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Deposited By: Francois VINCENT
Deposited On:02 Dec 2019 16:09

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