• Journal of Infrared and Millimeter Waves
  • Vol. 23, Issue 5, 345 (2004)
[in Chinese] and [in Chinese]
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  • [in Chinese]
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    [in Chinese], [in Chinese]. HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON MULTIPLE FEATURES DURING MULTIRESOLUTION FUSION[J]. Journal of Infrared and Millimeter Waves, 2004, 23(5): 345 Copy Citation Text show less
    References

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    [2] Landgrebe David A. On the relationship between class definition precision and classification accuracy in hyperspectral analysis[C]. IGARSS', 2000: 147-149.

    [3] Harsanyi Joseph C. Chang Chein-I. Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach [J]. IEEE Trans. on G.R.S. 1994, 32(4): 779-785.

    [4] Jia Xiu-Ping, Richards John A. Segmented principal components transformation for efficient hyperspectral remote-sensing image display and classification [J]. IEEE Trans. On G. R. S. 1999, 37(1): 538-542.

    [5] Zhang Ye, Desai M D, Zhang Jun-Ping, et al. Adaptive subspace decomposition for hyperspectral data dimensionality reduction [C]. ICIP99, Japan, 326-329.

    [6] Jimenez Luis O, Morell A M, Creus Antonio. Classification of hyperdimensional data based on feature and decision fusion approches using projection pursuit, majority voting, and neural networks [J]. IEEE Trans. On G.R.S., 1999, 37(3): 1360-1366.

    [7] Benediktsson J A, Kanellopoulos I. Classification of multisource and hyperspectral data based on decision fusion [J]. IEEE Trans. On G. R. S, 1999, 37(3): 1367-1377.

    [8] Zhang Jun-Ping, Zhang Ye. Hyperspectral image multiresolution fusion based on local information entropy [J]. Chinese Journal of Electronics. 2002, 11(2): 163-166.

    [9] Wilson Terry A, Rogers Steven K, Matthew Kabrisky. Perceptual-based image fusion for hyperspectral data [J]. IEEE Trans. On G.R S, 1998, 35(4): 1007-1017.

    [in Chinese], [in Chinese]. HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON MULTIPLE FEATURES DURING MULTIRESOLUTION FUSION[J]. Journal of Infrared and Millimeter Waves, 2004, 23(5): 345
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