• Opto-Electronic Engineering
  • Vol. 33, Issue 4, 44 (2006)
[in Chinese]1、2, [in Chinese]1、2, [in Chinese]1, [in Chinese]1, and [in Chinese]1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Assessment of signal-to-noise ratio of space optical remote sensor using artificial neural network[J]. Opto-Electronic Engineering, 2006, 33(4): 44 Copy Citation Text show less
    References

    [1] J.M.DELVIT,D.LEGER,S.ROQUES,et al.Signal to noise assessment from non specific views[J].SPIE,2001,4541:370-381.

    [2] M.JUNG,D.LEGER.Univariant assessment of the visual quality of images[J].SPIE,2000,3959:56-65.

    [3] J.M.DELVIT,D.LEGER,S.ROQUES,et al.Modulation transfer function estimation from nonspecific images[J].Optical Engineering,2004,43(6):1355-1365.

    [4] J.M.DELVIT,D.LEGER,S.ROQUES,et al.Modulation transfer function measurement using non specific views[J].SPIE,2003,4885:34-45.

    [5] Bo Cai GAO.An Operational method for estimating signal to noise ratio from data acquired with imaging spectrometers[J].Remote Sensing Environment,1993,43:23-33.

    [6] J.S.LEE,K.HOPPLE.Noise Modeling and Estimation of Remotely-Sensed Images[J].Proc.IEEE,Int.Geoscience and Remote Sensing Symposium,1989,2:1005-1008.

    [7] K.S.CHUANG,H.K.HUANG.Assessment of noise in a digital image using the join-count statistic and moran test[J].Phy.Med.Bio,1992,37(2):357-359.

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    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Assessment of signal-to-noise ratio of space optical remote sensor using artificial neural network[J]. Opto-Electronic Engineering, 2006, 33(4): 44
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