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《REMOTE SENSING FOR LAND & RESOURCES》 2000-01
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GENETIC ALGORITHMS AND ITS APPLICATION TO THE RETRIEVAL OF COMPONENT TEMPERATURE

Zhuang Jiali Xu Xiru (Institute of Remote Sensing and GIS of Peking University, Beijing China 100871)  
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.
【Fund】: 国家“九五”攀登计划支持项目!(项目编号 :95 -预 - 3 8)
【CateGory Index】: Q343.1
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