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- W4312284998 abstract "A Bayesian Likelihood Ratio Test (LRT) detector is analytically derived here for the replacement target model and using the non-parametric variable-bandwidth kernel density estimator to model the hyperspectral background. The detector is compared to the recent Generalized LRT detector, based on the same non-parametric model for the background. Experimental results obtained on two hyperspectral sub-pixel target detection scenarios reveal the great potential of the proposed detector and set the basis for future investigations." @default.
- W4312284998 created "2023-01-04" @default.
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- W4312284998 date "2022-07-17" @default.
- W4312284998 modified "2023-09-23" @default.
- W4312284998 title "Bayesian Non-Parametric Detector Based on the Replacement Model" @default.
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- W4312284998 doi "https://doi.org/10.1109/igarss46834.2022.9883554" @default.
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