Abstract: Objective An image matching method based on a rigorous orientation model is presented that exploitsthe characteristics of optical imagery acquired from domestic satellites from different sensors.Firstly,this paper improves the method for scan line iterative search on the basis of the existing methods,andproposes the rapid correspondence prediction method.Next,with the help of the global SRTM(Shut-tle Radar Topography Mission)data,the approximate epipolar line is constructed by projection track-ing.The geometric and radiometric deformation in the matching window is eliminated by the correc-tion of local distortion.At last,in original level,the MPGC algorithm is adopted to refine the matc-hing results.This paper proposes a matching algorithm based on the geometric correction of the facetand the matching growth algorithm of a control network,which improves matching accuracy and thedistribution of the matching points.A test with imagery data from the TH1、ZY02Cand ZY3satellitesshowed that the proposed method can combine the characteristics of the optical imagery acquired fromdomestic satellites,and yield multi-source image matching from multi-source sensors.A well distribu-ted set of matching points can be obtained.