Estimation of underlying submerge based on microwave model and dynamic programming algorithm

In this paper, the dynamic programming algorithm (DPA) is firstly proposed to analyze microwave minor scattering from advanced Michigan microwave canopy scattering (MIMICS). According to the decision stages which divided by the incidence angle, we use the DPA to study the underlying submerge information under the vegetation. Simultaneously, constructed in the DPA, the multidimensional sequence of state and recursive strategy is derived from the incident angle and polarization. Thus, submerge in the underlying surface can be effectively distinguished by the accumulation of minor scattering. The backscattering coefficients are simulated from the Michigan microwave canopy scattering (MIMICS), and the result of simulation is consistent with the conclusion of ground-based radar scatterometer (GBRS) experiments. Finally, field experiments are carried out and the observation is used for validation.