[2] CHACVEZ P S，BERLN G L，SOWERS L B. Statistical method for selecting Landsat MSS ratios [J]. Journal of Applied Photographic Engineering (S0098-7298)，1982，8(1)：23-30.
[3] ARZUAGA-CRUZ E，JIMENEZ-RODRIGUEZ L O，VELEZ-REYES M. Unsupervised feature extraction and band subset selection techniques based on relative entropy criteria for hyperspectral data analysis [C]// Proc of SPIE Algorithm and Technologies for Multispectral，Hyperspectral，and Ultrospectral Imagery，Orlando，FL，USA，April 21，2003：462-473.
[4] BAJCSY P，GROVES P. Methodology for hyperspectral band selection [J]. Photogrammetric Engineering and Remote Sensing (S0099-1112)，2004，70(7)：793-802.
[5] SHEFFIELD C. Selecting band combinations from multispectral data [J]. Photogrammetric Engineering & Remote Sensing (S0099-1112)，1985，51(6)：681-687.
[10] KWAK N，CHOI C-H. Input feature selection for classification problems [J]. IEEE Trans. Neural Networks(S0893-6080)， 2002，13(1)：143-159.
[11] CHANG C I. An information-theoretic approach to spectral variability，similarity，and discrimination for hyperspectral image analysis [J]. IEEE Transactions on Information Theory(S0018-9448)，2000，46(5)：1927-1932.
[12] KRUSE F A，LEFKOFF A B，BOARDMAN J W，et al. The Spectral Image Processing System (SIPS)-Interactive Visualization and Analysis of Imaging Spectrometer Data [J]. Remote Sensing Environment(S0034-4257)，1993，44(2)：145-163.
[13] KESHAVA N. Best bands selection for detection in hyperspectral Processing [C]// Proceedings of the IEEE International Conference in Acoustics，Speech，and Signal Processing，Salt Lake City，UT，USA，May 7-11，2001，5：3149-3152.
