中文摘要：

介绍了一种风云二号（FY-2）卫星图像自动几何精校正系统和方法。首先获得标称图坐标系下的二值化地标模板,然后通过Bayes后验概率,获得二值化FY-2待匹配图像;通过最大相关系数方法将地标模板与FY-2标称图进行匹配,获得地标偏移量;再通过质量控制获得匹配成功的地标对,实现自动的地标匹配。最后,应用DLT变换对FY-2图像进行几何精校正。大量的测试数据表明,该方法能够有效改进FY-2可见光通道图像定位精度。几何精校正后,可见光通道图像在南北方向上的定位精度提高了31.06%,东西方向上的定位精度提高了45.21%。分析指出FY-2可见光通道图像几何精校正前后,定位精度在星下点地方时正午前后均达到最佳状态,且南北方向上的定位精度优于东西方向上的精度。同时,统计分析结果表明,提出的方法成功率达到95.29%。

英文摘要：

This paper addresses the issue on automatic geometric precision correction for Fengyun-2（FY-2） meteorological satellite.Firstly,the binary landmark template is obtained under the FY-2 nominal projection,and then the binary FY-2 images are obtained by Bayes posterior probability.Maximum Cross Correlation is used to find the landmark mismatches between the binary landmark template and the binary FY-2 images.Quality control measures are used to guarantee the correct landmark matching ratios.Finally,the Direct Linear Transformation（DLT） is used to geometrically precise correct the FY-2 imagery.Tests have shown that this method can effectively improve the FY-2 image navigation accuracy.After the geometric precision correction,the image navigation accuracy improves 31.06% in the south-north direction and 45.21% in the east-west direction,respectively.The analysis has shown that with pre and post geometric precision correction,the FY-2 visible channel image navigation accuracy will be at the best status about Sub-Satellite Poin（tSSP） noon.And with pre and post geometric precision correction,the south-north image navigation accuracy of the FY-2 visible channel is better than that of the east-west.The successful ratio of this method can achieve 95.29%.