• Journal of Infrared and Millimeter Waves
  • Vol. 24, Issue 6, 463 (2005)
[in Chinese]1, [in Chinese]1、2, and [in Chinese]1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: Cite this Article
    [in Chinese], [in Chinese], [in Chinese]. NEW SCHEME FOR DECOMPOSITION OF MIXED PIXELS OF REMOTE SENSING IMAGES[J]. Journal of Infrared and Millimeter Waves, 2005, 24(6): 463 Copy Citation Text show less
    References

    [1] CHANG Cheng-I, ZHAO Xiao-Li. Least squares subspace projection approach to mixed pixel classification for hyperspectral images [J]. IEEE Transactions on Geoscience and Remote Sensing, 1998,36(3): 898-912.

    [2] K. Muramatsu, S. Furumi, N. Fujiwara, et al. Pattern decomposition method in the albedo space for Landsat TM and MSS data analysis [J]. International Journal of Remote Sensing, 2000,21(1):99-119.

    [3] Cheng-I Chang, Hsuan Ren, Chein-Chi Chang, et al. Estimation of subpixel target size for remotely sensed imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004,42(6):1309-1320.

    [4] Qian Du, Chein-I Chang. An interference rejection-based radial basis function neural network for hyperspectral image classification[C]. International Joint Conference on Neural Networks, 1999,4:2698-2703.

    [7] Heermann P D, Khazenie N. Classification of multispectral remote sensing data using a back-propagation neural network[J]. IEEE Transactions on Geoscience and Remote Sensing. 1992,30(1):81-88.

    [in Chinese], [in Chinese], [in Chinese]. NEW SCHEME FOR DECOMPOSITION OF MIXED PIXELS OF REMOTE SENSING IMAGES[J]. Journal of Infrared and Millimeter Waves, 2005, 24(6): 463
    Download Citation