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- W2014156763 abstract "In previous work, the statistical characteristics of the background or the noise under H0 hypothesis are similar as that under H1 hypothesis. Accordingly, the parameters under both hypotheses are estimated by the maximum likelihood method and finally a generalized likelihood ratio test based detector is developed, such as the matched subspace detector. Unfortunately, this kind of statistical similarity for both hypotheses may be changing, which is directly related to the unknown beforehand target fill factor. A hypothesis independent method is proposed to solve this problem, which uses different approaches to estimate the parameters for different hypotheses. Experiments on simulated data and real hyperspectral image demonstrate the ability of this proposed detector for subpixel target detection. A hypothesis independent model for subpixel target detector is proposed.The model employs different noise variance estimation methods for both hypotheses.Appearance of target will change the background or the noise power.Background power change contribution term can be adjusted to keep the performance." @default.
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- W2014156763 date "2015-05-01" @default.
- W2014156763 modified "2023-10-17" @default.
- W2014156763 title "A hypothesis independent subpixel target detector for hyperspectral Images" @default.
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- W2014156763 doi "https://doi.org/10.1016/j.sigpro.2014.08.018" @default.
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