Wang Mi, Fan Chengcheng, Yang Bo, Jin Shuying, Pan Jun
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China.
Computer School, Wuhan University, 129 Luoyu Road, Wuhan 430079, China.
Sensors (Basel). 2016 Jul 30;16(8):1203. doi: 10.3390/s16081203.
Satellite attitude accuracy is an important factor affecting the geometric processing accuracy of high-resolution optical satellite imagery. To address the problem whereby the accuracy of the Yaogan-24 remote sensing satellite's on-board attitude data processing is not high enough and thus cannot meet its image geometry processing requirements, we developed an approach involving on-ground attitude data processing and digital orthophoto (DOM) and the digital elevation model (DEM) verification of a geometric calibration field. The approach focuses on three modules: on-ground processing based on bidirectional filter, overall weighted smoothing and fitting, and evaluation in the geometric calibration field. Our experimental results demonstrate that the proposed on-ground processing method is both robust and feasible, which ensures the reliability of the observation data quality, convergence and stability of the parameter estimation model. In addition, both the Euler angle and quaternion could be used to build a mathematical fitting model, while the orthogonal polynomial fitting model is more suitable for modeling the attitude parameter. Furthermore, compared to the image geometric processing results based on on-board attitude data, the image uncontrolled and relative geometric positioning result accuracy can be increased by about 50%.
卫星姿态精度是影响高分辨率光学卫星影像几何处理精度的重要因素。针对遥感卫星24号星上姿态数据处理精度不够高、无法满足其影像几何处理要求的问题，我们开展了一种基于地面姿态数据处理以及数字正射影像（DOM）和数字高程模型（DEM）对几何校准场进行验证的方法。该方法主要聚焦于三个模块：基于双向滤波器的地面处理、整体加权平滑与拟合以及在几何校准场中的评估。我们的实验结果表明，所提出的地面处理方法既稳健又可行，确保了观测数据质量的可靠性、参数估计模型的收敛性和稳定性。此外，欧拉角和四元数均可用于构建数学拟合模型，而正交多项式拟合模型更适合对姿态参数进行建模。而且，与基于星上姿态数据的影像几何处理结果相比，影像无控及相对几何定位结果精度可提高约50%。
