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

被引：0
|
作者：
Woock, Philipp [1 ]
机构：
[1] Fraunhofer Inst Optron Syst Technol & Image Explo, D-76131 Karlsruhe, Germany
来源：
2013 MTS/IEEE OCEANS - BERGEN | 2013年
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页数：6
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