Spectroscopy and Spectral Analysis, Volume. 31, Issue 9, 2462(2011)
Hyperspectral Feature Band Selection Based on Mean Confidence Interval and Tree Species Discrimination
[2] [2] De Backer S, Kempeneers P, Debruyn W, et al. Geoscience and Remote Sensing Letters, IEEE, 2005, 2(3): 319.
[3] [3] Guo B, Gunn S R, Damper R I, et al. Geoscience and Remote Sensing Letters, IEEE, 2006, 3(4): 522.
[4] [4] Martinez-Uso A, Pla F, Sotoca J M, et al. Geoscience and Remote Sensing, IEEE Transactions on, 2007, 45(12): 4158.
[5] [5] Clark M L, Roberts D A, Clark D B. Remote Sensing of Environment, 2005, 96(3-4): 375.
[6] [6] Gong P, Pu R, Biging G S, et al. Geoscience and Remote Sensing, IEEE Transactions on, 2003, 41(6): 1355.
[7] [7] Lipschutz S, Lipson M. Schaum’s Outline of Theory and Problems of Probability: Schau’s Outline Series, 2000.
[8] [8] Blum A L, Langley P. Artificial Intelligence, 1997, 97(1): 245.
[10] [10] Faith D P, Minchin P R, Belbin L. Plant Ecology, 1987, 69(1): 57.
[12] [12] Soman K P, Diwakar S, Ajay V. Insight into Data Mining: Theory and Practice: Prentice-Hall of India Pvt. Ltd., 2006.
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CHEN Yong-gang, DING Li-xia, GE Hong-li, ZHANG Mao-zhen, HU Yun. Hyperspectral Feature Band Selection Based on Mean Confidence Interval and Tree Species Discrimination[J]. Spectroscopy and Spectral Analysis, 2011, 31(9): 2462
Received: Dec. 14, 2010
Accepted: --
Published Online: Nov. 9, 2011
The Author Email: CHEN Yong-gang (cyg_gis@163.com)