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	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).

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