摘要
提出了一种基于Harris特征点提取和小波金字塔的遥感图像快速匹配技术.在对多分辨率遥感图像进行完预处理的基础上,先利用Harris算子提取待匹配图像的特征点,然后利用小波金字塔完成匹配.通过杭州地区TM和SPOT遥感影像的配准实验,表明该算法减少了人工干预,提高了运算速度,又保持了匹配精度.
A matching method for remote sensing images based on Harris operator and wavelet pyramid is proposed. After the multi-resolution remote sensing images have been pre-processed, Harris operator is employed as a corner detector for extracting feature points. Subsequently, image-pyramids are constructed by wavelet transform, and then performed matching to images is performed. The experiment in matching Hangzhou TM and SPOT images demonstrates an exactness and speediness result.
出处
《浙江大学学报（理学版）》
CAS
CSCD
北大核心
2007年第4期465-468,共4页
Journal of Zhejiang University（Science Edition）
基金
国家863计划项目(2005AA131021)
