Band Selection for Hyperspectral Image Classification Using Mutual Information

• Published in: IEEE geoscience and remote sensing letters Vol. 3; no. 4; pp. 522 - 526
• Main Authors: Baofeng Guo, Gunn, S.R., Damper, R.I., Nelson, J.D.B.
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.10.2006; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Bands; Classification; Computational efficiency; Data processing; Ground truth; Gunn devices; Hyperspectral imaging; Hyperspectral sensors; Image classification; Image databases; image region classification; Layout; Mutual information; Random variables; remote sensing; spectral band selection; Spectral bands; Strategy; support vector machines (SVMs)
• ISSN: 1545-598X; 1558-0571
• DOI: 10.1109/LGRS.2006.878240

Spectral band selection is a fundamental problem in hyperspectral data processing. In this letter, a new band-selection method based on mutual information (MI) is proposed. MI measures the statistical dependence between two random variables and can therefore be used to evaluate the relative utility...