Abstract

A sub-bottom profiler (SBP) can capture the sediment interfaces and properties of different types of sediment. Horizon picking from SBP images is one of the most crucial steps in marine sub-bottom sediment interpretation. However, traditional horizon picking methods are good at obtaining the main horizons representing the main reflectors while ignoring the detailed horizons. While detailed horizons are the prime objective, many tiny structures caused by interference echoes will also be picked. To overcome this limitation, an integrated horizon picking method for obtaining the main and detailed horizons simultaneously is proposed in this paper. A total of three main process steps: the diffusion filtering method, the enhancement filtering method as well as the local phase calculation method, are used to help obtain the main and detailed horizons. The diffusion filtering method smooths the SBP images and preserves reflectors. Enhancement filtering can eliminate outliers and enhance reflectors. The local phase can be used to highlight all of the reflections and help in the choosing of detailed horizons. A series of experiments were then performed to validate the effectiveness of the proposed method, and good performances were achieved.

Highlights

  • Horizons picked from sub-bottom profiler (SBP) images represent acoustic impedance difference interfaces and are the basics for geological interpretation and sediment property analysis [3,4,5,6]

  • The performances of traditional automatic horizon picking methods may not be good enough, it is still important to develop these horizon picking methods to help generate sample datasets. To overcome these limitations and to develop an effective automatic horizon picking method, we propose an integrated horizon picking method for obtaining the main and detailed horizons simultaneously

  • This chapter chapter begins begins with aa brief brief introduction introduction of of the the operating operating principle principle of SBP, SBP, and and the the factors factors affecting affecting horizon horizon picking picking are areanalyzed

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Summary

Introduction

A SBP can capture a section image of marine sub-bottom sediments with high resolution and is widely used in marine science research and marine mineral surveys [1,2,3,4,5,6]. Horizons picked from SBP images represent acoustic impedance difference interfaces and are the basics for geological interpretation and sediment property analysis [3,4,5,6]. The usually used manual horizon picking method limits the development and wide application of SBP images [3,4,5,6,7]. Automatic picking methods face many challenges, especially in the integrated obtaining of both the main and detailed horizons [3]

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