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2013
Conference Paper
Titel
Side-scan sonar simulation for a kernelized seafloor shape reconstruction approach
Abstract
In this paper we show how an existing pixel-based surface elevation estimation method for side-scan sonar data can be enhanced by using a kernelized surface representation. We discuss a Bayesian formulation for the side-scan imaging process and describe how methods of space carving and inverse ray tracing built on Markov Random Fields (MRF) can be introduced to the task of surface estimation from side-scan sonar data.
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