[1] Baofeng Guo, Steve R. Gunn, R. I. Damper et al.. Band selection for hyperspectral image classification using mutual information[J]. IEEE Geoscience and Remote Sensing Letters, 2006, 3(4): 522~526
[5] J. A. Hoeting, D. Madigan, A. E. Raftery et al.. Bayesian model averaging: a tutorial[J]. Statistical Science, 1999, 14(4): 382~417
[6] G. R. Xuan, X. M. Zhu, P. Q. Chai et al.. Feature selection based on the bhattacharyya distance[C]. Proceedings of 18th International Conference on Pattern Recognition, Hong Kong, 2006. 1232~1235
[7] R. P. W. Duin, M. Loog. Linear dimensionality reduction via a heteroscedastic extension of LDA: the Chernoff criterion[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(6): 732~739
[8] A. Ifarraguerri, M. W. Prairie. Visual method for spectral band selection[J]. IEEE Geoscience and Remote Sensing Letters, 2004, 1(2): 101~106
[9] R. Battiti. Using mutual information for selecting features in supervised neural net learning[J]. IEEE Transactions on Neural Networks, 1994, 5(4): 537~550
[10] Nojun Kwak, Chong-Ho Choi. Improved mutual information feature selector for neural networks in supervised learning[C]. Proceeding of 1999 International Joint Conference on Neural Networks, Washington, 1999, 2: 1313~1318
[11] N. E. Huang, Z. Shen, S. R. Long. The empirical mode decomposition and the hilbert spectrum for nonlinear and nonstationary time series analysis[C]. Proceeding of Royal Society, London, 1998, A454: 903~995
[13] H. Peng, F. Long, C. Ding. Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(8): 1226~1238
[14] A. Jain, D. Zongker. Feature selection: valuation, application, and small sample performance[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(2): 153~158
[15] B. Demir, S. Erturk. Empirical mode decomposition of hyperspectral images for support vector machine classification[J]. IEEE Tansactions on Geoscience and Remote Sensing, 2010, 48(11): 4071~4084
[16] AVIRIS Northwest Indiana′s Indian Pines 1992 Dataset [OL]. Available: ftp://ftp.ecn.purdue.edu/biehl/ PC_MultiSpec/ThyFiles.zip (ground truth map) and ftp://ftp.ecn.purdue.edu/biehl/MultiSpec/92AV3C