ITM Web Conf.
Volume 7, 20163rd Annual International Conference on Information Technology and Applications (ITA 2016)
|Number of page(s)||3|
|Section||Session 2: Signal and Image Processing|
|Published online||21 November 2016|
- H. Huang, F. Luo, J. Liu and Y. Yang. Dimensionality reduction of hyperspectral images based on sparse discriminant manifold embedding. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 106: 42–54 [CrossRef]
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- N. D. Le Hanh, M. S Kim, and D. H. Kim. Comparison of Singular Value Decomposition and Principal Component Analysis applied to Hyper spectral Imaging of biofilm. IEEE Photonics Conference, 2012: 6–7.
- T. Bandos, L. Bruzzone and G. Camps-Valls. Classification of Hyper spectral Images With Regularized Linear Discriminant Analysis. IEEE Transactions on Geoscience & Remote Sensing, 2009, 47(3): 862–873. [CrossRef]
- F. X. Song, K. Cheng, J.Y. Yang, et al., Maximum scatter difference, large margin linear projection and support vector machines, Acta Automat. Sin. 2004, 30 (6): 890–896. (in Chinese).
- W. Sun, A. Halevy, J. J. Benedetto, et al. UL_isomap based nonlinear dimensionality reduction for hyperspectral imagery classification. Isprs Journal of Photogrammetry & Remote Sensing, 2014, 89(2): 25–36. [CrossRef]
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