Opto-Electronic Engineering, Volume. 33, Issue 4, 44(2006)
Assessment of signal-to-noise ratio of space optical remote sensor using artificial neural network
[1] [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] [2] M.JUNG,D.LEGER.Univariant assessment of the visual quality of images[J].SPIE,2000,3959:56-65.
[3] [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] [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] [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] [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] [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.
Get Citation
Copy Citation Text
[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