DocumentCode
3158400
Title
Side-scan sonar simulation for a kernelized seafloor shape reconstruction approach
Author
Woock, Philipp
Author_Institution
Fraunhofer Inst. of Optron., Syst. Technol. & Image Exploitation IOSB, Karlsruhe, Germany
fYear
2013
fDate
10-14 June 2013
Firstpage
1
Lastpage
6
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.
Keywords
Bayes methods; Markov processes; geophysical image processing; image reconstruction; oceanographic techniques; ray tracing; seafloor phenomena; sonar; surface reconstruction; Bayesian formulation; MRF; Markov random fields; inverse ray tracing; kernelized seafloor shape reconstruction approach; kernelized surface representation; pixel-based surface elevation estimation method; side-scan imaging process; side-scan sonar data; side-scan sonar simulation; space carving; surface estimation; Estimation; Kernel; Mathematical model; Shape; Sonar measurements; Surface treatment;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS - Bergen, 2013 MTS/IEEE
Conference_Location
Bergen
Print_ISBN
978-1-4799-0000-8
Type
conf
DOI
10.1109/OCEANS-Bergen.2013.6607992
Filename
6607992
Link To Document