Abstract
The space based infrared surveillance system (SBIRS) is a successful application of optical system which includes two different kinds of primary payloads (scanning and staring sensors). The precision of sensor’s line of sight (LOS) can directly determine the precision of targets tracking and location, the timeliness of large size optical image processing even can influence the efficiency of the SBIRS. Based on researching the imaging model and characteristics of scanning sensor, this paper proposes the real-time LOS calibration methods using multi-type control points (MCPs) for improving the precision of scanning sensor’s LOS. The influential factors of LOS error are equivalent to LOS attitude angles, and the theoretical model of LOS attitude angles has been used in the proposed method. By establishing the observation equation of MCPs (ground control points and star control points) and the state transition equation of LOS attitude angles, the real time high precision estimation of LOS attitude angles can be achieved for using the extend Kalman filter (EKF). The experiment results indicate that the proposed method has a high precision and a better smooth performance compared with the least squares method. And, the proposed method can also meet the requirement timeliness of for target tracking mission in SBIRS.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Andreas, N.S.: Space based infrared system (SBIRS) system of systems. In: IEEE Aerospace Conference Proceedings, pp. 429–438 (1997)
Slattery, J.E., Cooley, P.R.: Space-based infrared satellite system (SBIRS) requirements management. In: IEEE Aerospace Conference Proceedings (1998)
Xue, Y., An, W.: A novel target LOS calibration method for IR scanning sensor based on control points. In: Proceedings of SPIE, pp. 314–318 (2012)
Sheng, W., Xu, Y., Zhou, Y.: Analysis of LOS measurement error for space-based optical sensor. J. Astronaut. 32, 129–135 (2011)
Clemons, T.M., Chang, K.C.: Sensor calibration using in-situ celestial observations to estimate bias in space-based missile tracking. IEEE Trans. AES 48(2), 1403–1427 (2012)
Sun, J., Ni, L., Zhou, J.: Principle and Applications of Remote Sensing, pp. 123–137. Wuhan University Press (2009)
Poli, D., Toutin, T.: Review of developments in geometric modeling for high resolution satellite pushbroom sensors. Photogramm. Rec. 27, 58–73 (2012)
Wu, A.: SBIRS high payload LOS attitude determination and calibration. In: IEEE Aerospace Conference Proceedings, pp. 243–253 (1998)
Chen, J., An, W., Deng, X., Yang, J., Xu, Z.: Space based infrared scanning sensor LOS determination and calibration using star observation. In: Proceedings of SPIE (2015)
Chen, Y.F., Xie, Z., Qiu, Z., Zhang, Q., Hu, Z.: Calibration and validation of ZY-3 optical sensors. IEEE Trans. Geosci. Remote Sen. 53, 4616–4626 (2015)
Jiang, Y., Zhang, G., Tang, X., Li, D., Huang, W., Pan, H.: Geometric calibration and accuracy assessment of ZiYuan-3 multispectral images. IEEE Trans. Geosci. Remote Sen. 52(7), 4161–4172 (2014)
Li, L., Zhang, G., Jiang, Y., Shen, X.: An improved on-orbit relative radiometric calibration method for agile high-resolution optical remote-sensing satellites with sensor geometric distortion. IEEE Trans. Geosci. Remote Sen. 60, 1–15 (2022)
Wang, M., Cheng, Y., Tian, Y., He, L., Wang, Y.: A new on-orbit geometric self-calibration approach for the high-resolution geostationary optical satellite GaoFen4. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 11(5), 1670–1683 (2018)
Kistosturian, H.G.: On-orbit calibration of satellite antenna-pointing errors. IEEE Trans. AES 26, 88–1121 (1990)
Eppler, W.G., Paglieroni, D.W.: GOES landmark positioning system. In: Proceedings of SPIE, pp. 789–804 (1996)
Wang, P., Deng, X., Zhang, X.: A new method to obtain ground control points based on SRTM data. In: 5th International Symposium on Photoelectronic Detection and Imaging (2013)
Zarchan, P., Usoff, H.M.: Fundamentals of Kalman Filtering: A Practical Approach, 3rd edn., pp. 417–420. AIAA, Reston, VA (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Chen, J., Fan, J., Han, H., Ma, C., Zheng, Q. (2023). The Real-Time LOS Calibration Method by Using MCP for Linear Array Whiskbroom Optical Sensor. In: Dong, J., Zhang, L. (eds) Proceedings of the International Conference on Internet of Things, Communication and Intelligent Technology . IoTCIT 2022. Lecture Notes in Electrical Engineering, vol 1015. Springer, Singapore. https://doi.org/10.1007/978-981-99-0416-7_1
Download citation
DOI: https://doi.org/10.1007/978-981-99-0416-7_1
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-0415-0
Online ISBN: 978-981-99-0416-7
eBook Packages: EngineeringEngineering (R0)