Optimization of five-parameter BRDF model based on hybrid GA-PSO algorithm - 文章详情页

作者：

收录：

EI SCIE

摘要：

The　bidirectional　reflection　distribution　function　is　usually　used　to　analyze　the　reflection　characteristics　of　materials.　In　many　cases,　the　BRDF　models　are　optimized　by　fitting　parameters.　We　introduced　a　hybrid　particle　swarm　algorithm　(GA-PSO)　combining　genetic　algorithm　and　particle　swarm　algorithm　to　optimize　the　parameters　of　the　five-parameter　model.　In　order　to　verify　the　performance　of　the　hybrid　particle　swarm　optimization　algorithm,　we　measured　two　different　materials　of　space　targets　to　get　the　experimental　BRDF　values.　Then　we　simulated　the　parameters　by　using　the　genetic　algorithm,　particle　swarm　algorithm,　and　hybrid　particle　swarm　algorithm　respectively.　The　fitting　results　show　that　the　hybrid　particle　swarm　algorithm　is　better　than　genetic　algorithm　and　particle　swarm　algorithm　in　accuracy　and　convergence　speed　under　the　same　condition.　©　2020

关键词：

Distribution functions Genetic algorithms Hybrid materials Parameter estimation Particle swarm optimization (PSO)

作者机构：

[ 1 ] [Liu, Yuying]Institute of Advanced Technology on Semiconductor Optics & Electronics, Institute of Laser Engineering, Beijing University of Technology, Beijing; 100020, China
[ 2 ] [Dai, Jingjing]Institute of Advanced Technology on Semiconductor Optics & Electronics, Institute of Laser Engineering, Beijing University of Technology, Beijing; 100020, China
[ 3 ] [Zhao, Sisi]Beijing Institute of Space Mechanics& Electricity, Beijing; 100094, China
[ 4 ] [Zhang, Jinghao]Beijing Institute of Space Mechanics& Electricity, Beijing; 100094, China
[ 5 ] [Shang, Weidong]Beijing Institute of Space Mechanics& Electricity, Beijing; 100094, China
[ 6 ] [Li, Tong]Beijing Institute of Space Mechanics& Electricity, Beijing; 100094, China
[ 7 ] [Zheng, Yongchao]Beijing Institute of Space Mechanics& Electricity, Beijing; 100094, China
[ 8 ] [Lan, Tian]Institute of Advanced Technology on Semiconductor Optics & Electronics, Institute of Laser Engineering, Beijing University of Technology, Beijing; 100020, China
[ 9 ] [Wang, Zhiyong]Institute of Advanced Technology on Semiconductor Optics & Electronics, Institute of Laser Engineering, Beijing University of Technology, Beijing; 100020, China

通讯作者信息：

[dai, jingjing]institute of advanced technology on semiconductor optics & electronics, institute of laser engineering, beijing university of technology, beijing; 100020, china

电子邮件地址：

查看成果更多字段

成果类型
所属机构

所有年份指定年份从至