Bayesian Inference and Sidescan Restoration
نویسندگان
چکیده
We consider a Bayesian approach to the problem of inferring parameters of the SONAR environment given only the gathered sidescan image. A simpliied model of the process is developed along with suitable prior distributions on the parameters, and a sampling technique is utilised to estimate the parameters most likely given the data. As an example, we apply this technique to estimation of a step-gain TVG curve and use the results in restoration of legacy sidescan data.
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