基于虚拟点的可见光和SAR图像配准研究

本文以机场场景下的可见光和SAR图像为研究对象,提出了一种基于虚拟点特征的可见光和SAR图像配准方法.该方法以虚拟点特征和控制点匹配技术为基础,处理具有全局仿射几何失真的异源图像配准问题.首先根据两类图像的特点,使用Canny算子和一种兴趣算子提取两幅图像中的共有特征一直线特征,然后在直线特征的基础上拟合虚拟点特征,采用基于特征一致的粗配准和基于虚拟点特征的精确配准相结合的方法,对两幅图像实现由粗到精的自动配准,实验结果表明,本文方法可行且能取得较高的配准精度.

An Optical and SAR Image Registration Algorithm Based on Virtual Points

For registering multi-sensor remote image automatically, a new kind of virtual point based on line feature is proposed as a basis of point features and control points. Taken optical images and SAR images of airport as example, a multi-sensor remote image registration algorithm based on virtual points is proposed. The common features shown in two kinds of remote images, i.e. line features are extracted in different ways as the characteristic of each image firstly. Then virtual points are constructed on the basis of line features in each image, and used as the control point candidates in the process of image registration. The automatic coarse-to-fine registration between the two kinds of remote images is realized by two steps: the coarse registration based on feature consistency and the free registration based on virtual points. Experimental results show that the proposed algorithm is robust and accurate, and can realize the coarse-to-fine registration between optical and SAR images automatically.