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。
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.
出处
《量子电子学报》
CAS
CSCD
北大核心
2008年第4期489-492,共4页
Chinese Journal of Quantum Electronics
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
light scattering
bidirectional reflectance distribution function
genetic simulated annealing algorithms
optimization
rough surface
