Automatic sensor image registration using intelligent optimization methods | |
Tang Jian ; Zhu Jihong ; Sun Zengqi | |
2010-05-06 ; 2010-05-06 | |
关键词 | Practical Theoretical or Mathematical Experimental/ convergence genetic algorithms image registration sensor fusion simulated annealing/ automatic sensor image registration intelligent optimization method sensor fusion mapping parameter set genetic algorithm simulated annealing genetic simulated annealing/ B6135 Optical, image and video signal processing B0260 Optimisation techniques C5260B Computer vision and image processing techniques C5260A Sensor fusion C1180 Optimisation techniques |
中文摘要 | Sensor image registration is the task of correctly mapping one sensor image into another before sensor fusion. The problem is approached as an optimization problem, with a fitness function that evaluates the mapping parameter sets and several intelligent optimization methods, including genetic algorithms, simulated annealing, and genetic simulated annealing (GASA), used to automatically solve the problem. Experiments indicate the effectiveness of the registration methods which are insensitive to noise. GASA provides the best performance because of its rapid convergence. |
语种 | 中文 ; 中文 |
出版者 | Tsinghua Univ. Press ; China |
内容类型 | 期刊论文 |
源URL | [http://hdl.handle.net/123456789/10333] ![]() |
专题 | 清华大学 |
推荐引用方式 GB/T 7714 | Tang Jian,Zhu Jihong,Sun Zengqi. Automatic sensor image registration using intelligent optimization methods[J],2010, 2010. |
APA | Tang Jian,Zhu Jihong,&Sun Zengqi.(2010).Automatic sensor image registration using intelligent optimization methods.. |
MLA | Tang Jian,et al."Automatic sensor image registration using intelligent optimization methods".(2010). |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论