摘要
针对多源异构图像,提出一种基于组合信息的融合优化方法。在冗余信息、自信息和组合信息等概念基础上,设计并提出组合信息的指标及其计算方法,以此设计优化算法优选融合图像源,提高融合效果,支持后期目标检测识别等应用。实验表明,该方法综合考虑了异构图像互补性及多源图像成像质量等因素,可在一定程度上提升多源异构图像融合的效果。
Aiming at multiple heterogeneous sensing images, a metric based on redundant information and self-information is designed to assess the compound information carried by images group. Based on that, an arithmetic to choose source images for optimizing fusion and supporting application is designed. Experimental results show that this approach takes both the sensing mechanism and the source image quality into account, and chooses the source images for fusion effectively.
出处
《计算机工程》
CAS
CSCD
北大核心
2009年第23期229-231,共3页
Computer Engineering
关键词
多源异构图像
融合优化
组合信息
multiple heterogeneous images
fusion optimization
compound information
