用于快速模拟合成孔径声纳数据的傅立叶域波场渲染技术

IF 3.8 2区 工程技术 Q1 ENGINEERING, CIVIL IEEE Journal of Oceanic Engineering Pub Date : 2024-07-22 DOI:10.1109/JOE.2024.3401968
Ciaran J. Sanford;Benjamin W. Thomas;Alan J. Hunter
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引用次数: 0

摘要

本文介绍了一种模拟合成孔径声纳(SAS)原始相干回波数据的新方法,该方法比常用的点和面衍射模型快几个数量级。新方法使用傅立叶波场生成和传播,并结合高度优化的光学渲染引擎。结果表明,它生成的数据和数据产品(即图像和光谱)的质量在数量上与点衍射模型相似,能捕捉到重要的相干波物理现象(包括衍射、斑点、方位依赖性和分层)以及 SAS 处理链的影响(包括图像聚焦误差和伪影)。这一新的模拟能力将有助于利用物理上准确且多样化的合成数据来增强数据集,从而实现强大的机器学习。
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Fourier-Domain Wavefield Rendering for Rapid Simulation of Synthetic Aperture Sonar Data
This article introduces a new method for simulating synthetic aperture sonar (SAS) raw coherent echo data, which is orders of magnitude faster than the commonly used point and facet diffraction models. The new approach uses Fourier wavefield generation and propagation in combination with a highly optimized optical rendering engine. It has been shown to produce a quantifiably similar quality of data and data products (i.e., images and spectra) to a point-diffraction model, capturing the important coherent wave physics (including diffraction, speckle, aspect-dependence, and layover) as well as effects of the SAS processing chain (including image focusing errors and artifacts). This new simulation capability may be an enabler for augmenting data sets with physically accurate and diverse synthetic data for robust machine learning.
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来源期刊
IEEE Journal of Oceanic Engineering
IEEE Journal of Oceanic Engineering 工程技术-工程:大洋
CiteScore
9.60
自引率
12.20%
发文量
86
审稿时长
12 months
期刊介绍: The IEEE Journal of Oceanic Engineering (ISSN 0364-9059) is the online-only quarterly publication of the IEEE Oceanic Engineering Society (IEEE OES). The scope of the Journal is the field of interest of the IEEE OES, which encompasses all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
期刊最新文献
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