卫星线阵影像姿态拟合误差重投影与局部重构

Attitude Fitting Error Reprojection and Local Reconstruction of Satellite Linear Array Image

在卫星载荷严格成像模型的基础上,设计了一种线阵影像重构面阵影像方法,分析了姿态拟合误差对面阵影像重构的影响,实现了一种基于姿态拟合误差重投影的线阵影像优化重构方法。该方法以姿态拟合中误差为约束区间,对线阵影像进行多重局部重构,并通过重构影像与原始面阵影像的特征匹配,构建同名像点坐标偏移曲面,通过曲面拟合与极值分析,获取最佳重构姿态和最优重构影像。利用天绘一号卫星实验场数据进行了实验,实现了线阵影像的局部最优重构,验证了重构影像在线阵影像定位精度提升方面的性能。

Based on the rigorous imaging model of satellite’s imaging load,a frame image reconstructing method from linear array images is presented in this paper.Through analyzing the influence of attitude fitting error on the reconstruction effect,an optimal reconstruction method of frame image is realized based on the re-projection of attitude fitting error.In the method,the attitude fitting error is taken as constraint interval,and reconstructs multiple local frame images.Based on the feature matching of reconstructed image and original frame image,coordinate offset surfaces of matched feature points are constructed.Through surface fitting and local extreme value analysis,the best reconstructed attitude and local frame image are obtained.Experiments are carried out with the data of TianHui-1 satellite,the local optimal reconstruction of linear array image is obtained and the performance of the reconstructed image in improving the positioning accuracy of linear array images is verified.