基于最小二乘法和支持向量机的海洋内孤立波传播速度反演模型

Inversion models of internal solitary wave propagation speed in ocean based on least squares method and support vector machine

传播速度是内孤立波的重要参数之一,如何通过光学遥感图像准确快速地获得内孤立波速度是目前需要解决的重要科学问题.本文在实验室建立了模拟内孤立波光学遥感成像系统,开展了系列综合实验,获取实验数据库,并利用最小二乘法和支持向量机两种方法分别建立基于单景光学遥感图像的内孤立波速度反演模型.利用中国南海的MODIS图像和GF-4图像数据对速度反演模型进行精度检验.研究结果表明:最小二乘法内孤立波速度反演模型能够给出回归方程,物理意义更为直观,且在300—399 m水深范围精度更高,而支持向量机内孤立波速度反演模型在水深400—1200 m和83—299 m的范围内精度高.因此两种内孤立波速度反演模型各有优势,都可以应用于真实海洋中内孤立波速度的反演.

The propagation speed is one of the important parameters of the internal solitary wave(ISW).How to obtain the ISW speed through optical remote sensing images accurately and quickly is an important problem to be solved.In this paper,we simulate ISW optical remote sensing imaging,obtain an experimental database,and build the ISW speed inversion model based on a single-scene optical remote sensing image by using the least squares method and the support vector machine.The accuracy of the ISW speed inversion model is tested by using MODIS Image and GF-4 image data of the South China Sea.The study results are shown below.The least squares ISW speed inversion model can give the regression equation,which is more intuitive and has less accuracy in the water depth ranging from 300 m to 399 m,while the support vector machine ISW speed inversion model has high accuracy in the water depth ranging from 400 m to 1200 m and from 83 m to 299 m.Therefore,the two kinds of ISW speed inversion models have different advantages,and can be applied to the inversion of the ISW speed in the real ocean.