基于遗传算法和雷达后向散射模型的地表参数反演研究

在地表自然裸露条件下，利用雷达后向散射系数反演地表粗糙度及地表土壤含水量已经开展了很多的研究，许多学者提出了很多相关的模型及反演技术。在已有散射模型的基础上，利用遗传算法反演地表参数，并且对反演效果进行了验证；然后分别基于AIEM模型和Oh模型对SIR-C雷达图像进行了反演计算，并对反演结果作了统计分析，从而为利用雷达图像反演地表信息提供了新的研究思路。

The Study of Retrieving Surface Parameters Based on Genetic Algorithm and Backscattering Models

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.