摘要
介绍了遗传算法的主要内容和工作原理。在连续植被热辐射方向性模型的基础上 ,从热红外多角度遥感数据中 ,同时反演混合像元组分温度、土壤比辐射率以及叶面积指数。大量试验表明 ,利用遗传算法反演组分温度效果非常好。在宽松的先验知识条件下 。
This paper introduces the main contents and working principle of genetic algorithms. Based on the model of thermal radiant directionality of continuous vegetation, genetic algorithm was employed to synchronously retrieve component temperature, LAI and soil emissivity from thermal infrared multi_angle 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 we take full advantage of prior knowledge. The paper offers a new method to retrieve component temperature form multi_angle thermal infrared data based on the model of directionality of thermal radiance.
出处
《国土资源遥感》
CSCD
2000年第1期28-33,共6页
Remote Sensing for Land & Resources
基金
国家"九五"攀登计划支持项目!(项目编号 :95 -预 - 3 8)
关键词
遗传算法
组分温度反演
多角度遥感
遥感
土壤
Genetic algorithm Inversion of component temperature Multi_angle remote sensing
