摘要
图像融合是在多测度空间综合处理多源图像和图像序列的技术。图像融合分为 :像素层图像融合、特征层图像融合和符号图像层融合。本文讨论了图像融合各层次的融合算法以及红外图像、可见光图像、多谱图像、雷达图像等的融合问题。提出图像融合的结构模型 。
Multisensor image fusion is widely recognized as a valuable mechanism for improving overall system performance in image based application areas. The objective of image fusion is to combine information from multiple images of the same scene to achieve inferences that cannot be achieved with a single image or source. This paper surveys pixel, feature, and symbol level image fusion methods and compares the characteristics of different fusion levels. A few image fusion algorithms of each level are presented, problems about fusion of infrared image, VI, SAR, multispectral image are discussed. An image fusion structure model with feedback information and some issues that should be solved in the future are proposed in this paper.
出处
《电光与控制》
2002年第4期1-7,共7页
Electronics Optics & Control
基金
国家自然科学基金资助项目 (批准号 :6 0 172 0 33)
高校全国优秀博士学位论文作者专项资金资助项目 (编号 :2 0 0 0 36 )
