A Genetic Algorithm to Simultaneously Retrieve Land Surface Roughness and Soil Moisture
陆地表面粗糙度和土壤湿度多维参数同时反演的遗传算法

A novel genetic algorithm is developed for multi-parameter retrieval of land surface roughness and soil moisture. The theoretical model of two-scale rough surface is employed for computation of the cost function. Retrieved results by this genetic algorithm are well compared with ground-truth data. This study presents a new example of the genetic algorithm for multi-parameter retrieval in remote sensing.