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Side-scan sonar simulation for a kernelized seafloor shape reconstruction approach

: Woock, Philipp

Postprint urn:nbn:de:0011-n-2671706 (2.0 MByte PDF)
MD5 Fingerprint: d44e2bb133a8f9634ec3f72a29ffd7a0
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Erstellt am: 29.11.2013

Institute of Electrical and Electronics Engineers -IEEE-; Marine Technology Society -MTS-:
MTS/IEEE OCEANS 2013. Proceedings : 10-14 June 2013, Bergen
New York, NY: IEEE, 2013
ISBN: 978-1-4799-0000-8 (Print)
ISBN: 978-1-4799-0002-2
6 S.
OCEANS Conference <2013, Bergen>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()

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.