TELECOMMUNICATIONS AND RADIO ENGINEERING - 2009 Vol. 68,
No 18 		 

 

 

 

Joint Estimation of Remote Sensing Images and Mixed Noise Parameters

M.L. Uss and V.V. Lukin
National Aerospace University, 17 Chkalova St, 61070, Kharkiv, Ukraine,

B. Vozel and K. Chehdi
University of Rennes I, 6, Rue de Kerampont, 22 305 Lannion cedex, BP 80518, France,

Abstract
We address a joint task of remote sensing image enhancement and noise parameters’ estimation within a maximum likelihood framework. Estimation (blind determination) of noise parameters is an important operation in pre-processing images formed in varying or unknown imaging conditions. One peculiarity of our approach is that fractals (fBm-model) are used for modeling real-life images. Another peculiarity and advantage of the proposed approach consists in simultaneous evaluation of additive correlated noise variance and impulse noise occurrence probability. The core of our method is an iterative procedure of impulse noise detection and estimation of additive noise variance using pixels that are considered uncorrupted by impulses. Image model parameters are estimated as well with providing additional information for image interpretation. The designed method is tested for simulated and real life remote sensing images.

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pages 1659-1686

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