中国海洋大学学报（自然科学版）2025，Vol.55Issue(3)：94-103,10.DOI:10.16441/j.cnki.hdxb.20240056
基于迁移学习的安达曼海内孤立波传播速度反演研究
A Inversion Study of Internal Solitary Wave Propagation Speed Based on Transfer Learning in the Andaman Sea
摘要
Abstract
The propagation speed of internal solitary waves(ISWs)is one of the fundamental parame-ters that characterizes their energy,and the inversion of ISWs propagation speed using optical remote sensing images is a key technique.Two datasets of ISWs were established using optical simulation experiments and optical remote sensing observations,including 1 581 samples from laboratory physics simulations(LPS)and 568 samples from remote sensing data.To effectively use the LPS data,we developed a transfer learning model to invert the propagation speed of ISWs in the Andaman Sea,with a basic structure of a residual neural network(Res-net).The transfer process involves training the model with the LPS data first and then fine-tuning it with the remote sensing data.The speed inversion model demonstrates good accuracy with an RMSE(MRE)of 0.19 m/s(7.7％)on the test set,with RMSE(MRE)of 0.18 m/s(8.1％)and 0.20 m/s(7.2％)in shallow water and deep water modes respective-ly,indicating its versatility in both shallow and deep waters.Applying this model to single-scene remote sensing images in the Andaman Sea,the inversion results of 601 ISW samples show a strong correlation between the predicted ISW propagation speed and water depth,with a bimodal distribution that reaches its peak during spring tides.关键词
内孤立波/传播速度反演/光学遥感图像/物理仿真实验/迁移学习Key words
internal solitary waves/propagation speed inversion/optical remote sensing images/labo-ratory physics simulation/transfer learning分类
测绘与仪器引用本文复制引用
陆雅各,李志鑫,杨展,王晶..基于迁移学习的安达曼海内孤立波传播速度反演研究[J].中国海洋大学学报（自然科学版）,2025,55(3):94-103,10.基金项目
国家自然科学基金项目(61871353)资助Supported by the National Natural Science Foundation of China(61871353) （61871353）
