• Journal of Infrared and Millimeter Waves
  • Vol. 34, Issue 2, 236 (2015)
FU Peng*, SUN Quan-Sen, and JI Ze-Xuan
Author Affiliations
  • [in Chinese]
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    DOI: 10.11972/j.issn.1001-9014.2015.02.019 Cite this Article
    FU Peng, SUN Quan-Sen, JI Ze-Xuan. A spectral-spatial information based approach for the mixed noise estimation from hyperspectral remote sensing images[J]. Journal of Infrared and Millimeter Waves, 2015, 34(2): 236 Copy Citation Text show less
    References

    [2] Bisceglie M D, Episcopo R, Galdi C, et al. Destriping MODIS data using overlapping field-of-view method[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009,47(2): 637-651.

    [3] Zhang L, Zhang L, Tao D, et al. On combining multiple features for hyperspectral remote sensing image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012,50(3): 879-893.

    [4] Fauvel M, Chanussot J, Benediktsson J A. A spatial-spectral kernel-based approach for the classification of remote-sensing images[J]. Pattern Recognition, 2012,45(1): 381-392.

    [5] Ammari H, Garnier J, Solna K. A statistical approach to target detection and localization in the presence of noise[J]. Waves in Random and Complex Media, 2012,22(1): 40-65.

    [6] Roger R E, Arnold J F. Reliably estimating the noise in AVIRIS hyperspectral images[J]. International Journal of Remote Sensing, 1996,17(10): 1951-1962.

    [7] Gao L R, Zhang B, Zhang X, et al. A new operational method for estimating noise in hyperspectral images[J]. IEEE Geoscience and Remote Sensing Letters, 2008,5(1): 83-87.

    [8] Fu P, Sun Q S, Ji Z X, et al. A new method for noise estimation in single-band remote sensing images[C]. In IEEE 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2012: 1664-1668.

    [9] Gao L R, Du Q, Zhang B, et al. A comparative study on linear regression-based noise estimation for hyperspectral imagery[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013,6(2): 488-498.

    [10] Foi A, Trimeche M, Katkovnik V, et al. Practical Poissonian-Gaussian noise modelling and fitting for single-image raw-data[J]. IEEE Transactions on Image Processing, 2008,17(10): 1737-1754.

    [11] Alparone L, Selva M, Aiazzi B, et al. Signal-dependent noise modeling and estimation in new-generation imaging spectrometers[C]. In Proc. 1st Workshop Hyperspectral Image Signal Process: Evol. Remote Sens. Aug. 2009: 1-4.

    [12] Aiazzi B, Alparone L, Baronti S, et al. Unsupervised estimation of signal-dependent CCD camera noise[J]. EURASIP Journal on Advances in Signal Processing, 2012,2012(1): 1-11.

    [13] Actio N, Diani M, Corsini G. Signal-dependent noise modeling and model parameter estimation in hyperspectral images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011,49(8): 2957-2971.

    [14] Meola J, Eismann M T, Moses R L, et al. Modeling and estimation of signal-dependent noise in hyperspectral imagery[J]. Applied Optics, 2011,50(21): 3829-3846.

    [15] Uss M L, Vozel B, Lukin V V, et al. Local signal-dependent noise variance estimation from hyperspectral textural images[J]. IEEE Journal of Selected Topics in Signal Processing, 2011,5(3): 469-486.

    [16] Sobel I. Neighborhood coding of binary images for fast contour following and general binary array processing[J]. Computer Graphics and Image Processing, 1978,8(1): 127-135.

    [17] Amer A, Dubois E. Fast and reliable structure-oriented video noise estimation[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2005,15(1): 113-118.

    [18] Otsu N. A threshold selection method from gray-level histograms[J]. IEEE Transactions on Systems, Man and Cybernetics. 1975,9(1): 62-66.

    FU Peng, SUN Quan-Sen, JI Ze-Xuan. A spectral-spatial information based approach for the mixed noise estimation from hyperspectral remote sensing images[J]. Journal of Infrared and Millimeter Waves, 2015, 34(2): 236
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