Method for real-time in-orbit calibration of angles for the optical surveying and mapping satellite

被引：0

作者：

Jiang W. ^{[1
]}

Liu W. ^{[2
]}

Qian F. ^{[2
,3
]}

Wang H. ^{[1
]}

Wang K. ^{[1
]}

机构：

[1] State Key Laboratory of Integrated Service Network, Xidian Univ., Xi'an

[2] State Key Laboratory of Geographic Information Engineering, Xi'an Research Institute of Surveying and Mapping, Xi'an

[3] Information Engineering Univ., Zhengzhou

来源：

Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2019年 / 46卷 / 05期

关键词：

Angles of camera; Attitude angle; Error analysis; On-orbit real-time calibration; Optical self-collimation;

D O I：

10.19665/j.issn1001-2400.2019.05.015

中图分类号：

学科分类号：

摘要：

The positioning accuracy is directly affected by the change of the angle between star sensor and earth observation camera of the optical mapping satellite in the orbit, without the support of ground control point data. Aiming at the practical application problems of low attitude stability and the long calibration period of the earth observation camera, this paper proposes a real-time method for the calibration of the angle between star sensor and earth observation camera, based on the self-collimation method. First, we install collimated light sources, the spot imaging array and other devices inside the satellite load system. Then, we convert changes in the camera's optical axes into changes in the spot images. Finally, the angle variation between the cameras' optical axes can be solved. Simulation analysis shows that this method can obtain the calibration accuracy of 0.1 arc second-time in both the pitch angle and roll angle. This method requires no ground calibration field and it is not affected by external conditions. It can realize real-time autonomous calibration in-orbit. This method has a good feasibility and practical value. © 2019, The Editorial Board of Journal of Xidian University. All right reserved.

引用

页码：105 / 112

页数：7

共 18 条

[1]

Wang R., Wang J., Hu X., Analysis of Location Accuracy without Ground Control Points of Optical Satellite Imagery, Acta Geodaetica et Cartographica Sinica, 46, 3, pp. 332-337, (2017)

[2]

Jin T., Li Z., Li T., Et al., System Design and Analysis for Improving Geometric Accuracy of High-Resolution Optical Remote Sensing Satellite Image, Journal of Astronautics, 34, 8, pp. 1159-1165, (2013)

[3]

Wang J., Yang J., Hu X., Et al., The Application of Three-dimensional Intersection for Calibrating the Spatial Camera, Journal of The Pla Institute of Surveying and Mapping, 19, 2, pp. 119-121, (2002)

[4]

Guo B., Cheng Y.M., AutomaticCentroid Extraction Method for Noisy Star Image, IET Image Processing, 12, 6, pp. 856-862, (2018)

[5]

Samirbhai M.D., Chen S., Low K.S., A Hamming Distance and Spearman-correlation Based Star Identification Algorithm, IEEE Transactions on Aerospace and Electronic Systems, 55, 1, pp. 17-30, (2019)

[6]

Wang Z., Li M., Zhang P., Novel Particle Filter Algorithm Based on Evolution Fission, Journal of Xidian University, 41, 6, pp. 31-36, (2014)

[7]

Deng B., Sun Z., He Q., Novel Extended Kalman Filter with Linear-correction, Journal of Xidian University, 45, 3, pp. 130-135, (2018)

[8]

Ecsssecretaria T., Stars Sensors Terminology and Performance Specification: ECSS-E-ST-60-20C, (2008)

[9]

Wang X., Zheng R., Wu Y., Et al., Study on the Method of Precision Adjustment of Star Sensor, Nanotechnology and Precision Engineering, 1, 4, pp. 248-257, (2018)

[10]

Wang M., Fan C., Pan J., Et al., Image Jitter Detection and Compensation Using a High-frequency Angular Displacement Method for Yaogan-26 Remote Sensing Satellite, ISPRS Journal of Photogrammetry and Remote Sensing, 130, pp. 32-43, (2017)

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