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Strathprints serves world leading Open Access research by the University of Strathclyde, including research by the Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), where research centres such as the Industrial Biotechnology Innovation Centre (IBioIC), the Cancer Research UK Formulation Unit, SeaBioTech and the Centre for Biophotonics are based.

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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.