Titlebook: Hyperspectral Image Fusion; Subhasis Chaudhuri,Ketan Kotwal Book 2013 Springer Science+Business Media New York 2013 Band Selection.Calculu

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Band Selection Through Redundancy Elimination,es the scheme of entropy-based band selection which is a generic scheme for the data containing a large number of bands. The hyperspectral data consist of a spectrally ordered set of contiguous bands. We exploit this characteristic, and develop a model for measurement of the similarity across bands.

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Bayesian Estimation,a first order approximation. According to this model, every sensor element captures only a fraction of the underlying true scene. This fraction is regarded as the sensor selectivity factor in this model, which primarily reflects how well the particular pixel has been captured by the corresponding se

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Variational Solution,ationship between the fused image and the input hyperspectral bands. The purpose of the weighting function which generates the fusion weights, is to implicitly specify the model for the fusion process.An explicit computation of fusion weights is, therefore, not required so long as the underlying mod

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