用局部灰度极值方法进行多光谱图像配准算法研究

针对多光谱遥感图像,提出了一种基于局部灰度极值的配准方法:通过在基准图像和待配准图像中同步寻找含有灰度极值的小区域,再用多项式对极值区域进行曲面拟合,最后,分别计算小区域的极值点作为特征点对进行配准。并用真实和模拟多光谱图像进行了试验,结果显示本课题提出的方法具有算法简单和配准精度高的特点。

Research on Multi-spectral Image Registratio with Local Gray Extremum Method

According to Multi-spectral remote sensing image,this paper proposes a method based on local gray extremum method：Firstly,it is need to synchronize to find small areas containing gray-extremum between the reference image and the registration image.Secondly,the extremal regions will be surface fitting with polynomial.Lastly,extreme points of the small area are calculated respectively as feature points for registration.In this paper,it experiment on real and simulated multi-spectral images.The results show that the proposed approach has the advantages of simple algorithm and good precision.