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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Study on Inversion Amplitude of Internal Solitary Waves Applied to Shallow Sea in the Laboratory
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Study on Inversion Amplitude of Internal Solitary Waves Applied to Shallow Sea in the Laboratory

机译：内部孤立波的反转幅度应用于实验室浅海

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摘要

Optical remote sensing has been an important method to investigate the internal solitary wave (ISW). However, acquiring the ISW amplitude from optical remote sensing images has been the most difficult problem. In this letter, a method is proposed for inverting the amplitude of the ISW. A simulation platform of optical remote sensing is established to detect ISWs in the laboratory, which offers corresponding ISWs and remote sensing images. The experimental results show that the characteristic parameters of optical remote sensing images are changed with ISW amplitude. The relationship between them is nonlinear and related to the hierarchical structure. Hence, based on the support vector machine (SVM), random forest (RF), convolutional neural network (CNN), and multilayer perceptron (MLP), four inversion models of ISW amplitude are built and tested by the in situ data of the Wenchang area. The inversion results indicate that the average relative error of the SVM model is the smallest at 12.4%. It can be applied to the area with a ratio of stratification limited to 0.1-0.6.
机译：光学遥感是研究内部孤立波（ISW）的重要方法。然而，从光学遥感图像获取ISW幅度已经是最困难的问题。在这封信中，提出了一种方法，用于反转ISW的幅度。建立了光学遥感的模拟平台，以检测实验室中的ISW，其提供相应的ISW和遥感图像。实验结果表明，光遥感图像的特征参数随ISW幅度而改变。它们之间的关系是非线性的并且与分层结构相关。因此，基于支持向量机（SVM），随机森林（RF），卷积神经网络（CNN）和多层的Perceptron（MLP），由WENCHANG的原位数据构建和测试了四个ISW幅度的反转模型区域。反演结果表明SVM模型的平均相对误差为12.4％。它可以应用于具有限制为0.1-0.6的分层比率的区域。

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