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• W2988191750 abstract "This work presents a novel target detector that combines a nonparametric approach for conditional probability density function (pdf) estimation and an adaptive estimation of the target strength of the additive model it is based on. The variable bandwidth kernel density estimator is employed for pdf estimation within the Generalized Likelihood Ratio Test (GLRT) framework and a closed-form solution is found. Experimental results featuring hyperspectral data of a real subpixel target detection scenario reveal the potential of the proposed approach." @default.
• W2988191750 created "2019-11-22" @default.
• W2988191750 creator A5070096886 @default.
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• W2988191750 date "2019-07-01" @default.
• W2988191750 modified "2023-09-23" @default.
• W2988191750 title "Nonparametric Target Detection with Target Strength Estimation for Hyperspectral Images" @default.
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• W2988191750 doi "https://doi.org/10.1109/igarss.2019.8899185" @default.
• W2988191750 hasPublicationYear "2019" @default.
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