The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B1-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 141–148, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-141-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 141–148, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-141-2020

  06 Aug 2020

06 Aug 2020

RESEARCH ON INTEGRATED STATIC AND DYNAMIC GEOMETRIC CALIBRATION TECHNOLOGY FOR OPTICAL SURVEYING AND MAPPING SATELLITES

Y. Wang1, X. Hu2, and G. Xie1 Y. Wang et al.
  • 1Xi'an Geovis Spatial Data Technology Co., Ltd, Xi'an, China
  • 2Xi'an Institute of Surveying and Mapping, Xi'an, China

Keywords: Slow Drift, Low Frequency Error, System Error, Static Calibration, Dynamic Calibration, Positioning Without Control Points

Abstract. As the satellite latitude and camera temperature changes, temperature distortion in orbit makes the optical axis of the star sensor drifts slowly in the satellite body coordinate system, and the attitude measurement system contains low frequency errors that cannot be ignored. Low frequency errors are systematic in short periods, and occasional in long periods, which cause an error of a few minutes, so as to greatly reduce the positioning accuracy without control points of satellite photography. Traditional geometric calibration can only eliminate system errors caused by changes in optics in sensor platform and mechanical structures and etc., and cannot reduce the effect of low-frequency errors. An integrated static and dynamic geometric calibration method based on optical surveying and mapping satellites is proposed in this paper. The attitude system error and low frequency error are effectively detected by establishing a correction model of low frequency errors and analyzing the effective calibration process of traditional on-orbit calibration and dynamic calibration. Finally, relevant experiments are performed with image from satellite TIANHUI-1 in seven test fields, which verifies that this low-frequency error compensation method is correct and effective.