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 Conference Proceedings, pp. 341-344. ISBN 978-1-4244-2709-3
Full text not available in this repository. (Request a copy from the Strathclyde author)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, mutual information, geophysical signal processing , remote sensing, image processing, 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: | 04 Oct 2012 16:29 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/31198 |
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