Method for solving problem of automatic pointing correction of star-sensitive camera through image recognition

Abstract

The invention discloses a method for solving the problem of automatic pointing correction of a star-sensitive camera through image recognition, and the method comprises the following steps: building acoordinate system, and calculating a theoretical observation angle of the camera; observing a target sky area; continuously and automatically obtaining a current camera image; recognizing whether a fixed bright spot exists in the image or not according to an image gray value, if not, adjusting the observation angle for re-observation, and if yes, taking the bright spot as the actual position of an observed target; calculating a reference coordinate and an observation coordinate of the observed target, calculating a plane vector difference value between the observation coordinate and the reference coordinate, i.e., an alignment error of the star-sensitive camera, if the difference value is within an error range, ending a correction process, and if the difference value is not within the error range, carrying out error correction and re-observation on a theoretical observation angle of the star-sensitive camera. According to the invention, the observed target can be automatically identified by using an image multi-frame identification mode without manual judgment, and the pointing correction is automatically carried out on the current alignment error, so that the observation pointingaccuracy of the star-sensitive camera is improved.

Description

technical field [0001] The invention belongs to the field of satellite observation, and in particular relates to a method for automatically correcting pointing of a star-sensitive camera by using image recognition. Background technique [0002] In ground-based satellite observation and ranging activities, high-sensitivity, low-illuminance low-light cameras are usually used with large-aperture telescopes to observe satellites in orbit and other artificial aircraft. Observing artificial aircraft is mainly used for specific applications such as ranging and orbit determination. Therefore, there is a high requirement for the alignment accuracy of the star-sensitive camera. At present, in the actual observation, it is usually with manual participation, relying on the experience of the operator to manually judge the deviation of the satellite star image and correct it. However, due to the development of society, the scale of the city continues to expand, resulting in serious light ...

AI Technical Summary

Problems solved by technology

However, due to the development of society, the scale of the city continues to expand, resulting in serious light pollution around the city; the suburbs and mountainous areas far away from the city provide good observation conditions for satellite observation, solve the problem of light pollution, but also increase the commuting of operators burden

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