The Study of Retrieving Surface Parameters Based on Genetic Algorithm and Backscattering Models
基于遗传算法和雷达后向散射模型的地表参数反演研究

The research of retrieving surface roughness and soil moisture under natural bare soils using SAR data has been refined over the last few years; Researchers have proposed lots of backscattering models and inverting techniques.Based on the backscattering models proposed,this paper established a database including surface parameters and backscattering coefficients as well as the surface parameters using genetic algorithm,backscattering coefficients in the database and the surface parameters; Then,the surface parameters were inverted using SIR-C SAR image based on AIEM and Oh models,respectively,and results were analyzed statistically.Therefore,the algorithm above supplies new idea for retrieving surface parameters using radar images.