Study on Inversion Amplitude of Internal Solitary Waves Applied to Shallow Sea in the Laboratory

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.