Suppr超能文献

基于矢量角不变性的遥感相机与星敏感器安装矩阵在轨标定

On-Orbit Calibration of Installation Matrix between Remote Sensing Camera and Star Camera Based on Vector Angle Invariance.

作者信息

Tang Yujie, Wei Zhenzhong, Wei Xinguo, Li Jian, Wang Gangyi

机构信息

School of Instrumentation and Opto-electronic Engineering, Beihang University, Beijing 100191, China.

出版信息

Sensors (Basel). 2020 Oct 4;20(19):5667. doi: 10.3390/s20195667.

Abstract

To achieve photogrammetry without ground control points (GCPs), the precise measurement of the exterior orientation elements for the remote sensing camera is particularly important. Currently, the satellites are equipped with a GPS receiver, so that the accuracy of the line elements of the exterior orientation elements could reach centimeter-level. Furthermore, the high-precision angle elements of the exterior orientation elements could be obtained through a star camera which provides the direction reference in the inertial coordinate system and star images. Due to the stress release during the launch and the changes of the thermal environment, the installation matrix is variable and needs to be recalibrated. Hence, we estimate the cosine angle vector invariance of a remote sensing camera and star camera which are independent of attitude, and then we deal with long-term on-orbit data by using batch processing to realize the accurate calibration of the installation matrix. This method not only removes the coupling of attitude and installation matrix, but also reduces the conversion error of multiple coordinate systems. Finally, the geo-positioning accuracy in planimetry is remarkably higher than the conventional method in the simulation results.

摘要

为了在无地面控制点(GCP)的情况下实现摄影测量,精确测量遥感相机的外方位元素尤为重要。目前,卫星配备了GPS接收机,使得外方位元素的线元素精度能够达到厘米级。此外,外方位元素的高精度角元素可通过星敏感器获得,星敏感器在惯性坐标系中提供方向基准和星图。由于发射过程中的应力释放和热环境的变化,安装矩阵是可变的,需要重新校准。因此,我们估计了与姿态无关的遥感相机和星敏感器的余弦角向量不变性,然后利用批处理处理长期在轨数据,实现安装矩阵的精确校准。该方法不仅消除了姿态与安装矩阵的耦合,还减少了多个坐标系的转换误差。最后,在模拟结果中,平面定位精度明显高于传统方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f33f/7582389/8057c87b1755/sensors-20-05667-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验