海洋声速场张量器的零射击重建:一种深度的插即用方法
Siyuan Li1, Lei Cheng1, Xiao Fu2
1College of Information Science and Electronic Engineering, Zhejiang University, 310027, Hangzhou, China.
The Journal of the Acoustical Society of America
|May 24, 2024
概括
这项研究引入了一种用于重建海洋声速场 (SSF) 的新方法,使用在自然图像上训练的深度消极器. 这种方法可以实现SSF重建的零射击,超过现有方法,特别是在具有挑战性的场景中.
科学领域:
- 海洋学 海洋学 海洋学
- 地质物理学 地质物理学
- 信号处理 信号处理
背景情况:
- 重建三维海洋声速场 (SSF) 是一个复杂的反向问题,因为数据有限且噪音很大.
- 现有的方法依赖于预先规定的先验,往往无法捕捉SSF的复杂性.
- 获取足够的SSF历史数据用于训练神经网络的先验是具有挑战性的.
研究的目的:
- 开发一种新的,高效的方法来重建三维海洋声速场.
- 在没有额外的培训的情况下,利用在自然图像上训练的深度denoisers进行SSF重建.
- 提高SSF重建的准确性和稳定性,特别是在具有挑战性的场景中.
主要方法:
- 一个交替方向方法的乘数 (ADMM) 算法被调整使用一个深度denoiser.
- 开发了一个plug-and-play框架,将预先训练的denoiser与手工制作的SSF priors集成在一起.
- 该方法利用自然图像和SSF之间的共享无色化特征进行零拍摄重建.
主要成果:
- 拟议的plug-and-play框架显著超过了最先进的基线方法.
- 该方法在具有挑战性的重建场景中表现出卓越的性能,例如用张力纤维SSF样本.
- 实现了零射击重建,不需要额外的培训或对深层消毒器进行修改.
结论:
- 这种新的 plug-and-play 框架为海洋声速场重建提供了一种强大而通用的方法.
- 利用自然图像消毒剂为SSF重建挑战提供了有效的解决方案.
- 该方法的超越性突显了跨领域知识转移在科学反向问题的潜力.
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