用高斯过程和机器学习进行海底分类和源本地化

Christina Frederick1, Zoi-Heleni Michalopoulou1

  • 1Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, New Jersey 07102, USA christin@njit.edu, michalop@njit.edu.

JASA express letters
|June 13, 2023
PubMed
概括

高斯过程增强了声学数据,用于更高的海底分类和源范围估计. 这种机器学习方法可以改善各种水下环境中的沉积物范围绘制.

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