A new modelisation of noise in image remote sensing

V. Granville and J. P. Rasson

Statistics & Probability Letters, 1992, vol. 14, issue 1, 61-65

Abstract: Instead of considering an additive Gaussian noise, we present a model where the observed image is a mixture of an arbitrary noise process with the true but unknown image. We have obtained consistent estimators for the proportions of the mixture. We have also estimated the distribution of the colours in the true image. The differences between the discrete and the non-discrete case is then discussed. Finally, an application with simulated images is given at the end of the paper.

Keywords: Markov; random; field; training; set; mixture; of; distributions; noise; process; discrete; image (search for similar items in EconPapers)
Date: 1992
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Citations: View citations in EconPapers (1)

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