• Acta Optica Sinica
  • Vol. 32, Issue 8, 828004 (2012)
Zhao Chunhui*, Qi Bin, and Zhang Yi
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/aos201232.0828004 Cite this Article Set citation alerts
    Zhao Chunhui, Qi Bin, Zhang Yi. Hyperspectral Image Classification Based on Variational Relevance Vector Machine[J]. Acta Optica Sinica, 2012, 32(8): 828004 Copy Citation Text show less
    References

    [1] Li Shanshan, Zhang Bing, Gao Lianru et al.. Research on hyperspectral target detection algorithms based on variance minimum[J]. Acta Optica Sinica, 2010, 30(7): 2116~2122

    [2] Zhao Liaoying, Shen Yinhe, Li Xiaorun et al.. Composite kernel target detection based on mathematical morphology for hyperspectral imagery[J]. Acta Optica Sinica, 2011, 31(12): 1228003

    [3] Wang Liguo, Zhao Chunhui, Qiao Yulong et al.. Research on all-around weighting methods of hyperspectral imagery classification[J]. J. Infrared Millim. Waves, 2008, 27(6): 442~445

    [4] Shen Yi, Zhang Min, Zhang Miao. Mutual information bands selection and empirical mode decomposition based support vector machines for hyperpsectral data high-accuracyclassification[J]. Laser & Optoelectronics Process, 2011, 48(9): 091001

    [5] Zhao Guilin, Zhu Qibing, Huang Min. Apple mealiness detection using supervised isometric feature mapping and support vector machine based on hyperspectral scattering image[J]. Laser & Optoelectronics Process, 2011, 48(10): 101002

    [6] C. Cortes, V. Vapnik. Support-vector networks[J]. Mach. Learn., 1995, 20(3): 273~297

    [7] Yang Guopeng, Zhou Xin, Yu Xuchu et al.. Relevance vector machine for hyperspectral imagery unmixing[J]. Acta Elelctronica Sinica, 2010, 38(12): 2751~2756

    [8] F. A. Mianji, Y. Zhang. Robust hyperspectral classification using relevance vector machine[J]. IEEE Trans. Geosci. Remote Sensing, 2011, 49(6): 2100~2112

    [9] M. Tipping. Sparse bayesian learning and the relevance vector machine[J]. J. Mach. Learn. Res., 2001, 1: 211~244

    [10] Zhang Lei, Liu Jianwei, Luo Xionglin. KNN and RVM based classification method: KNN-RVM classifier[J]. Pattern Recognition and Artifical Intelligence, 2010, 23(3): 376~384

    [11] Li Gang, Wang Guilong, Xue Huifeng. GA optimizing method to kernel fuction parameters of RVM[J]. Control Engineering of China, 2010, 17(3): 335~342

    [12] M. Pal, G. M. Foody. Feature selection for classification of hyperspectral data by SVM[J]. IEEE Trans. Geosci. Remote Sensing, 2010, 48(5): 2297~2307

    [13] G. Oliveri, A. Massa. Bayesian compressive sampling for pattern synthesis with maximally sparse non-uniform linear arrays[J]. IEEE Trans. Antennas and Propagation, 2011, 59(2): 467~481

    [14] R. Ram, M. Chetty. A markov-blanket-based model for gene regulatory network inference[J]. IEEE/ACM Trans. Comput. Biol., 2011, 8(2): 353~367

    [15] T. Jaakkola, M. Jordan. Bayesian parameter estimation through variational methods[J]. Stat. Comput., 2000, 10(1): 25~37

    [16] C. Bishop, M. Tipping. Variational relevance vector machines[C]. Proc. 16th Conference on Uncertainty in Artificial Intelligence, Morgan Kaufmann, 2000. 46~53

    [17] B. D. Ripley. Neural networks and related methods for classification[J]. J. Roy. Statist. Soc., 1994, 56(3): 409~456

    [18] J. Chen, C. Wang, R. Wang. Using stacked generalization to combine SVMs in magnitude and shape feature spaces for classification of hyperspectral data [J]. IEEE Trans. Geosci. Remote Sensing, 2009, 47(7): 2193~2205

    [19] Yang Guopeng, Yu Xuchu, Zhou Xin et al.. Research on relevance vector machine for hyperspectral imagery classification[J]. Acta Geodaetica et Cartographica Sinica, 2010, 39(6): 572~578

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    Zhao Chunhui, Qi Bin, Zhang Yi. Hyperspectral Image Classification Based on Variational Relevance Vector Machine[J]. Acta Optica Sinica, 2012, 32(8): 828004
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