关键词: 遗传算法, 组分温度反演, 多波段多角度热红外遥感, 连续植被

Abstract: Taking erectophile type continuous vegetation as a example, authors had done many Monte Carlo simulations, and established empirical analytic expressions of radiances with component temperature, soil emissivity and leaf area index. Empirical analytic expressions were used to construct objective function and genetic algorithm was employed to synchronously retrieve 5 parameters, such as component temperature, soil emissivity and LAI, from thermal infrared 2 channels and 2 angles data. Many experiments of genetic algorithm inversion from simulated data were conducted, results show that it is very robust to retrieve component temperature using genetic algorithm；genetic algorithm can cope with uncertainty inversion problem pretty well if full advantage of priori knowledge was taken.Comparison between inversion results and ground-truth data has been done. This paper offers a new example to retrieve component temperature from multi-channel, multi-angle thermal infrared data based on the model of directionality of thermal radiance.

Key words: genetic algorithm, inversion of component temperature, multi-channel, multi-angle thermal infrared remote sensing, continuous vegetation