CAJ | 학술논문

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.
본문이궤장장경하적가견광화SAR도상위연구대상,제출료일충기우허의점특정적가견광화SAR도상배준방법.해방법이허의점특정화공제점필배기술위기출,처리구유전국방사궤하실진적이원도상배준문제.수선근거량류도상적특점,사용Canny산자화일충흥취산자제취량폭도상중적공유특정일직선특정,연후재직선특정적기출상의합허의점특정,채용기우특정일치적조배준화기우허의점특정적정학배준상결합적방법,대량폭도상실현유조도정적자동배준,실험결과표명,본문방법가행차능취득교고적배준정도.
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.