Hyperspectral Band Selection Using the Total Dependence Metric

Aria, S.E. Hosseini; Menenti, Massimo; Gorte, B.G.H.

doi:10.1364/hise.2015.hw3b.3

Fourier Transform Spectroscopy and Hyperspectral Imaging and Sounding of the Environment 2015

DOI: 10.1364/hise.2015.hw3b.3

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Hyperspectral Band Selection Using the Total Dependence Metric

S.E. Hosseini Aria

Massimo Menenti

B.G.H. Gorte

Abstract: Selecting bands with the lowest redundant information from a hyperspectral dataset is always desirable. This study obtains the most independent bandset by using a state-of-the-art single metric measuring the overall dependence of multivariate systems.

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Hyperspectral Band Selection Using the Total Dependence Metric

Abstract: Selecting bands with the lowest redundant information from a hyperspectral dataset is always desirable. This study obtains the most independent bandset by using a state-of-the-art single metric measuring the overall dependence of multivariate systems.

Cited by 0 publications

References 2 publications

No citations

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