Faced with the problem of unstable reliability in matching long-strip imagery of Chinese satellite

a matching algorithm is presented using the global Shuttle Radar Topography Mission（ SRTM） data as elevation control. First

this algorithm employs the block partition mechanism

and introduces Local Binary Pattern / Contrast（ LBP / C） operator to filter the interest points. Second

the global SRTM data is used to compute the true topographic relief within the image coverage. Based on the true topographic relief

the approximate epipolar line is constructed and the accuracy is analyzed. Third

on the pyramid level

two-dimensional correlation matching is executed to search for the optimal matches along the epipolar line. During the matching process

the geometry rectification method is applied to improve the accuracy of matching. Finally

on the original level

Multi-Photo Geometrically Constrained（ MPGC） matching algorithm is adopted to refine the matching result

and Random Sample Consensus（ RANSAC） is imbedded to eliminate mismatches. In order to ensure the distribution uniformity of matches

the region-growing algorithm is introduced. The main advantage of the proposed algorithm is that it can realize the automatic matching for long-strip imagery of different Ground Sample Distance（ GSD）

different visual angles in parallel environment. Through the comparison between the proposed method and the mainly existing methods

the results show that the matching accuracy is improved.