Inversion of Planetary Surface Dielectric Parameters Based on Hybrid High Frequency Method

This paper proposes a method for accurately inverting the dielectric parameters of rough surfaces using a hybrid high-frequency electromagnetic model. The root-mean-square error (RMSE) of the RCS is used as the objective function, and the hybrid model of the physical optics method (PO) and the integral equation method (IEM) is used as the RCS numerical solver. The accuracy of the RCS simulation using the PO-IEM model is validated by comparing it with the FEKO method of moments. The RCS error is is found to be less than 4 dB and the efficiency is improved by 20000 times. This demonstrates that the model not only provides accurate scattering characteristics calculations but also significantly enhances the efficiency of the genetic algorithm iteration optimization process. This article performs dielectric parameter inversion on both rough planes and rough crater structures with varying roughness and dielectric parameters. The average error of the dielectric parameters is found to be less than 9%. These findings highlight the practical value of the proposed inversion method in engineering applications, particularly in remote sensing technologies such as soil moisture detection and the extraction of dielectric parameters for planetary surfaces.