| 目标表面BRDF统计建模中的遗传模拟退火算法 |
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| 引用本文： | 李铁,王航宇,王宏军.目标表面BRDF统计建模中的遗传模拟退火算法[J].量子电子学报,2008,25(4):489-492. |
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| 作者姓名： | 李铁 王航宇 王宏军 |
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| 作者单位： | 西安航空职业技术学院电气工程系,陕西,西安,710089 |
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| 摘 要： | 结合基本遗传算法与模拟退火算法,构造出了新的具有全局搜索优化特性的遗传模拟退火算法.根据卫星表面BRDF实验数据和统计模型,引用遗传模拟退火算法,获得样片BRDF模型参数的优化估计,从而获得了三维空间的BRDF分布,其优化参数后的模型在另一部分数据上也得到了很好的吻合验证.
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| 关 键 词： | 光散射 双向反射分布函数 遗传模拟退火算法 优化 粗糙表面 |
| 收稿时间： | 2008/2/28 |
Application of genetic simulated annealing algorithm in BRDF statistical modelling |
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| LI Tie,WANG Hangyu,WANG Hongjun.Application of genetic simulated annealing algorithm in BRDF statistical modelling[J].Chinese Journal of Quantum Electronics,2008,25(4):489-492. |
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| Authors: | LI Tie WANG Hangyu WANG Hongjun |
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| Affiliation: | LI Tie WANG Hang-yu WANG Hong-jun (Xi\'an Aeronautical Polytechnic Institute,Xi\'an 710089,China) |
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| Abstract: | Combining simple genetic algorithms with simulated annealing,a new genetic simulated annealing algorithms is obtained with the characteristics of global searching and optimum.This method is used to fit experimental data to bidirectional reflectance distribution function (BRDF) statistical model in order to obtain more light scattering information of rough surface from satellite.And we also get the 3D BRDF distribution of the sample plane.The results are in accordance with experimental data. |
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| Keywords: | light scattering bidirectional reflectance distribution function genetic simulated annealing algorithms optimization rough surface |
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