Study On The Electromagnetic Scattering And Inverse Problems For The Actual Land And Sea Surfaces

Based on the integral equation method (IEM) and with considering the influence of the soil moisture and volume scattering, the backscattering coefficient of land surface which possesses an exponential correlation function is calculated. The experimental model of the soil dielectric constant is given and the numerical results of the parameters in the model are obtained. The retrieval of land surface parameters is achieved by using RBF neural networks and Genetic Algorithms (GA), good results are obtained with small inverse errors. The comparison of the advantages and disadvantages for these two methods is presented. The composite scattering between dielectric sea surface and a conducting plate above it is calculated by using Physical Optical (PO) method and reciprocity theorem. Meanwhile, the dependence of the plate size on the composite scattering field is considered. The Doppler spectrum and the chaotic characteristic for the time series of composite scattering field are analyzed. Finally, artificial neural networks and wavelet analysis are introduced into the study of the sea clutter to realize the purpose of target detection, the factors which affect the detection of the target are discussed and the solutions to these problems are given.