基于傅里叶变换的遥感图像配准算法

Remote sensing image registration algorithm based on FFT

提出了一种基于傅里叶的遥感图像自动配准方法,图像间的变化包括平移、旋转及比例变化。该方法是傅里叶相位相关技术的扩展,其主要优点是在不需要寻找控制点和传感器参数的情况下进行图像自动配准。通过对数-极坐标变换、利用傅里叶变换的比例特性和旋转特性搜索图像间的比例和旋转变化,利用傅里叶的相位相关技术(能量谱)确定图像间的平移关系,实验结果表明了此方法的可行性和有效性。

An automated FFT-based technique is proposed for registration of remote sensing images having different spatial resolution and relative rotation and shift. The proposed method is an extension of the phase correlation technique. The main characteristic of the algorithm is to align two images automatically without requiring either control points or sensor′s parameters. Fourier scaling properties and rotational properties are used to find scale and rotational movement by log-polar coordinate transform. The phase correlation technique determines the translation movement. Experimental results show that satisfactory effect has been obtained by applying the (method.)