Application of the atmospheric delay correction model in YG-13A range calibration

  • role: First author第一作者
  • Affiliation:

    School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

  • Email:dmj2008@whu.edu.cn
  • Introduction:邓明军(1990— ),男,博士研究生,研究方向为星载SAR成像、几何处理。E-mail:dmj2008@whu.edu.cn
Mingjun DENG1,  
  • role: Corresponding author通信作者
  • Affiliation:

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

  • Email:guozhang@whu.edu.cn
  • Introduction:张过(1976— ),男,教授,研究方向为航天摄影测量与遥感。E-mail:guozhang@whu.edu.cn
Guo ZHANG2*,  
  • Affiliation:

    Liaoning Technical University, Fuxin 123000, China

Ruishan ZHAO3,  
  • Affiliation:

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

Shaoning LI2,  
  • Affiliation:

    School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

Jiansong LI1

реферат

The Chinese YG-13A mission was launched in November 2015. YG-13A is equipped with a next-generation high-resolution Synthetic Aperture Radar (SAR) sensor in the X-band, with a resolution of up to 0.5 m. China can now obtain high-resolution SAR images globally. YG-13A demonstrates several improvements compared with previous Chinese SAR satellites, and these improvements include (1) higher image resolution due to a new sliding-spot imaging mode; (2) more flexible data acquisition owing to the capability to image the left and right sides; and (3) improvement in the measuring accuracy of instruments. When the radar system is operating, the radar signal travels through the medium between the antenna and ground. The radar signal encounters group delay in the ionosphere and troposphere (atmospheric path delay) because the refractive index of the atmosphere is not uniform. The range accuracy of YG-13A is thus influenced by atmospheric delay time-varying errors. To address the range accuracy problem of YG-13A, a range calibration method that considers atmospheric delay time-varying errors is proposed to improve range accuracy. First, the atmospheric delay correction method using external data is selected to calculate the atmospheric delay correction amount for each calibration scene. Second, the atmospheric delay corrections for each calibration scene are substituted into the range calibration model. Finally, the system error of range measurement is solved with the range calibration model that considers the atmospheric delay time-varying error when a high-precision corner reflector control point is laid on the ground. The plane and elevation precision of the corner reflector control point are better than 0.1 m. When atmospheric path delay is considered, the standard deviation of the slant range calibration values of four sets of data, namely, A1, A2, B1, and B2, is small. Images obtained over Taiyuan and Tianjin test sites show that the range accuracy of YG-13A is approximately 0.70 m in consideration of the atmospheric delay time-varying error. Calibration results show that the method is effective and feasible. The 0.3 m orbital nominal accuracy is close to the theoretical limit. The range accuracy of YG-13A is mainly limited by the orbit accuracy determined by a single-frequency global positioning satellite. The findings prove that the range measurement of SAR does not use the attitude parameter and can achieve high precision.

ключеви́че слова́

atmospheric delay correction;YG-13A;range calibration;satellite ranging;geometric accuracy

References

  1. 1.
    Bräutigam B, Schwerdt M and Bachmann M. 2006. The external calibration of TerraSAR-X, a multiple mode SARSystem//Proceedings of the 6th European Conference on Synthetic Aperture Radar. Dresden, Germany: VDE
  2. 2.
    Chao C C. 1974. The Tropospheric Calibration Model for MARINER MArs 1971. Technical Report 32–1587. Pasadena, California: JPL: 61–76.
  3. 3.
    Chen Q M, Song S L and Zhu W Y. 2012. An analysis of the accuracy of zenith tropospheric delay calculated from ECMWF/NCEP data over Asian area. Chinese Journal of Geophysics, 55(5): 1541–1548 (
  4. 4.
    Cumming I G and Wong F H. 2007. Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation. Hong W and Hu D H, trans. Beijing: Electronic Industries Press: 155–191
  5. 5.
    Davis J L, Herring T A, Shapiro I I, Rogers A E E and Elgered G. 1985. Geodesy by radio interferometry: effects of atmospheric modeling errors on estimates of baseline length. Radio Science, 20(6): 1593–1607
  6. 6.
    Doin M P, Lasserre C, Peltzer G, Cavalié O and Doubre C. 2009. Corrections of stratified tropospheric delays in SAR interferometry: validation with global atmospheric models. Journal of Applied Geophysics, 69(1): 35–50
  7. 7.
    Eineder M, Minet C, Steigenberger P, Cong X Y and Fritz T. 2011. Imaging geodesy—toward centimeter-level ranging accuracy with TerraSAR-X. IEEE Transactions on Geoscience and Remote Sensing, 49(2): 661–671
  8. 8.
    Fei W B. 2012. Research and Application of the RPC Model Geometry Processing for Spaceborne SAR and Spaceborne InSAR. Wuhan: Wuhan University: 20–22
  9. 9.
    Herring T A and Quinn K. 2001. Atmospheric Delay Correction to GLAS Laser Altimeter Ranges.
  10. 10.
    Jehle M, Perler D, Small D, Schubert A and Meier E. 2008. Estimation of atmospheric path delays in TerraSAR-X data using models vs. measurements. Sensors (Basel), 8(12): 8479–8491
  11. 11.
    Li S, Xiao J M, Ma Y, Zhou H and Guo X. 2013. Study on atmospheric refraction delay correction for satellite laser altimeter system. Optics and Optoelectronic Technology, 11(1): 7–11 (
  12. 12.
    Li S N, Zhang G, Tang X M and Huang W C. 2016. A method for detecting the atmospheric refraction effect using satellite remote sensing. Remote Sensing Letters, 7(10): 985–993
  13. 13.
    Liu X F, Liu J Y and Hong W. 2006. The analysis of the precision in spaceborne SAR image location. Journal of Remote Sensing, 10(1): 76–81 (
  14. 14.
    Marini J W. 1972. Correction of satellite tracking data for an arbitrary tropospheric profile. Radio Science, 7(2): 223–231
  15. 15.
    Mittermayer J, Younis M, Metzig R, Wollstadt S, Martinez J M and Meta A. 2010. TerraSAR-X System performance characterization and verification. IEEE Transactions on Geoscience and Remote Sensing, 48(2): 660–676
  16. 16.
    Mohr J J and Madsen S N. 2001. Geometric calibration of ERS satellite SAR images. IEEE Transactions on Geoscience and Remote Sensing, 39(4): 842–850
  17. 17.
    Nitti O D, Bovenga F, Nutricato R, Refice A, Bruno M F, Petrillo A F and Chiaradia M T. 2013. On the use of numerical weather models for improving SAR geolocation accuracy//Proceedings of the 10th European Conference on Synthetic Aperture Radar. Berlin, Germany: IEEE: 1–4
  18. 18.
    Noerdlinger P D. 1999. Atmospheric refraction effects in earth remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 54(5/6): 360–373
  19. 19.
    Schubert A, Jehle M, Small D and Meier E. 2010. Influence of atmospheric path delay on the absolute geolocation accuracy of TerraSAR-X high-resolution products. IEEE Transactions on Geoscience and Remote Sensing, 48(2): 751–758
  20. 20.
    Schwerdt M, Schmidt K, Ramon N T, Alfonzo G C, Döring B J, Zink M and Prats-Iraola P. 2016. Independent verification of the sentinel-1A system calibration. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(3): 994–1007
  21. 21.
    Wang C and Zhang H W. 2009. Comparison of atmospheric refraction delay mapping function. Geospatial Information, 7(6): 85–87 (
  22. 22.
    Wang X W, Cheng X, Gong P, Huang H B, Li Z and Li X W. 2011. Earth science applications of ICESat/GLAS: a review. International Journal of Remote Sensing, 32(23): 8837–8864
  23. 23.
    Wei Z Q. 2001. Synthetic Aperture Radar Satellite. Beijing: Science Press: 17–22
  24. 24.
    Zhao X, Zhang Y, Zhao P J and Tu B H. 2011. Influence of atmospheric transmission delay of satellite laser altimeter on ranging precision. Infrared and Laser Engineering, 40(3): 438–442 (
  25. 25.
    Zhu T Y, Zhu J J, Zhang X Z and Guo Y K. 2007. Atmospheric refraction numerical fitting research based on mapping function and neural network. Acta Geodaetica et Cartographica Sinica, 36(3): 290–295 (

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