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, LAIand 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.
庄家礼, 徐希孺. 遗传算法在组分温度反演中的应用[J]. 国土资源遥感, 2000, 12(1): 28-33.
Zhuang Jiali, Xu Xiru . GENETIC ALGORITHMS AND ITS APPLICATION TO THE RETRIEVAL OF COMPONENT TEMPERATURE. REMOTE SENSING FOR LAND & RESOURCES, 2000, 12(1): 28-33.
[1] Holland J H. Adaptation in natural and artificial systems. University of Michigan Press,1975[2] Goldberg D E. Genetic algorithms in search, optimization, and machine learing. Addision－Wesley,1989[3] Deb K Genetic Algorithms for Function Optimization. In: Herrera F, Verfegay J L. edited. Genetic algorithms and soft computing. Physica－Verlag, Springer－Verly Company, 1996,3～29[4] Winter G, Galan M, Cuesta P, Greiner D. Genetic algorithms: A stochastic improvement technique: tools, skills, pitfalls and examples. In: Winter G, Periaux J, Galan M, Cuesta P. Genetic algorithms in engineering and computer science, John Wiley and Sons. 1996,217～247[5] 潘正军,康立山,陈毓屏.演化计算.北京:清华大学出版社,1998[6] 陈良富.非同温混合像元热辐射方向性模型:[学位论文] .北京:北京大学图书馆,1999[7] Antyufeev V S, Marshak A L. Monte carlo method and transport equation in plant canopies. Remote Sensing Environment, 1990,31:183～191
2000, Vol. 12 
