摘要
该文提出了一种基于互信息相似性判据的分层遥感图像配准方法,通过小波变换构造图像金字塔,从金字塔的最顶层开始搜索,根据互信息最大的原则确定图像间的变换参数,并作为下一层搜索的粗略位置,然后逐层细化,实现由粗到细的搜索过程。将此算法应用于遥感图像,得到了有效、精确的配准结果。从而证明了该文算法的可行性和有效性。
A pyramid approach for remote sensing image registration based on mutual information is presented.The image pyramid is obtained by using the wavelet transform.Coarse-to-fine multi-resolution search approaches have been proposed to increase accuracy and efficiency.An exhaustive search algorithm is applied at the coarsest level of the image pyramid.Registration at higher levels can be performed with the result at the pervious level serving as the initial condition.Our algorithm has been applied on remote sensing images.The results show that our algorithm performs fairly well.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第13期31-33,共3页
Computer Engineering and Applications
基金
国家部委科技重点实验室基金项目(编号:51483040103JW0515)资助
关键词
图像配准
互信息
小波变换
image registration,mutual information,wavelet transform
