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Band selection for hyperspectral images using copulas-based mutual information

Zeng, Xuexing and Durrani, T. S. (2009) Band selection for hyperspectral images using copulas-based mutual information. In: Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on. IEEE, pp. 341-344. ISBN 978-1-4244-2709-3

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Abstract

This paper explores a new measure for band selection of hyperspectral images using copulas-based mutual information. Mutual information offers a measure of the dependence between random variables, which can be used to select specific bands for the analysis of hyperspectral images. This is achieved by comparing mutual information values between the band images and a reference map. In this paper, copula density functions are exploited for the estimation of mutual information between the images. Due to the special relationship between copula density functions and joint probability density functions, copulas offer a natural and robust way for the estimation of the mutual information.

Item type: Book Section
ID code: 31198
Notes: e-isbn: 978-1-4244-2711-6
Keywords: band selection, Copulas , hyperspectral image, mutual information, bandwidth, density functional theory, entropy, hyperspectral imaging , probability density function, random variables, hyperspectral sensors, image processing, infrared detectors, geophysical signal processing , remote sensing, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 18 May 2011 14:24
    Last modified: 09 May 2014 05:21
    URI: http://strathprints.strath.ac.uk/id/eprint/31198

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