Cao Jinshan, Shang Haixing, Zhou Nan, Xu Shu
Opt Express. 2022 Jul 18;30(15):28091-28111. doi: 10.1364/OE.464112.
When some sub-images lack ground control points (GCPs) or GCPs are not evenly distributed, the estimated camera parameters are often deviated in in-orbit geometric calibration. In this study, a feasible in-orbit geometric calibration method for multi-linear array optical remote sensing satellites with tie constraints is presented. In the presented method, both GCPs and tie points are employed. With the help of tie constraints provided by tie points, all charge coupled devices (CCDs) are logically connected into a complete CCD. The internal camera parameters of all CCDs can then be simultaneously and precisely estimated, even if sufficient evenly distributed GCPs in some sub-images are unavailable. Three GaoFen-6 images and two ZiYuan3-02 images were tested. Compared with the conventional method, the experimental results showed that the deviations of the estimated camera parameters could be effectively eliminated by the presented method. The average geometric stitching accuracy of the adjacent sub-images of all the tested images were improved from approximately 0.5 pixel to 0.1 pixel. The geometric quality of the stitched images was thereby improved.
当一些子图像缺少地面控制点（GCP）或GCP分布不均匀时，在轨道几何定标中估计的相机参数往往会出现偏差。在本研究中，提出了一种适用于具有连接约束的多线阵光学遥感卫星的在轨几何定标方法。在所提出的方法中，同时使用了GCP和连接点。借助连接点提供的连接约束，所有电荷耦合器件（CCD）在逻辑上连接成一个完整的CCD。即使某些子图像中没有足够数量均匀分布的GCP，也可以同时精确估计所有CCD的内部相机参数。对3幅高分六号图像和2幅资源三号02星图像进行了测试。与传统方法相比，实验结果表明，所提出的方法能够有效消除估计相机参数的偏差。所有测试图像相邻子图像的平均几何拼接精度从约0.5像素提高到0.1像素。从而提高了拼接图像的几何质量。
