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: Revisited, conditional entropy measure. We have also observed that one can achieve almost similar fusion output by using a small fraction of hyperspectral data. The idea of the output-based fusion motivates us to develop an alternate band selection method that selects a subset of bands depending upon whether

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Performance Assessment of Fusion Techniques,echnique in terms of the visual quality of the fused image. However, this approach is completely subjective, and thus may vary for different observers. Different subjects can perceive the same image differently, and their perception may be based on several psycho-visual factors rather than an object

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https://doi.org/10.1007/978-1-4614-7470-8Band Selection; Calculus of Variation; Edge-preserving Filter; Fusion Consistency; Fusion Quality Assess

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978-1-4899-9375-5Springer Science+Business Media New York 2013

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ed discussion on the assessment of fusion techniques.Hyperspectral Image Fusion. is the first text dedicated to the fusion techniques for such a huge volume of data consisting of a very large number of images. This monograph brings out recent advances in the research in the area of visualization of

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Book 2013images. This monograph brings out recent advances in the research in the area of visualization of hyperspectral data. It provides a set of pixel-based fusion techniques, each of which is based on a different framework and has its own advantages and disadvantages. The techniques are presented with co