Camera Pointing Correction Algorithm for Chang’e-5T Probe Based on Earth-Moon Group Images

Abstract

In this paper, a camera pointing correction algorithm is proposed based on Earth-Moon group images of Chang’e-5T. Firstly, centroid coordinates of the two celestial bodies are extracted from the Earth-Moon group image using a morphological analysis method. Then an optimization function is constructed to estimate the installation error of the camera. The typical advantage of the algorithm is that the pointing error of the onboard camera can be corrected easily by one interstellar image. Accuracies of corrected results based on simulated data and the actual data of Chang’e-5T all reach the order of 0.01 degree, which verify the efficiency of the algorithm. All the work is meaningful to actual engineering application.

Keywords

interstellar navigation / Earth-Moon group image / pointing correction / information fusion

References

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