A method of using image recognition to solve the automatic pointing correction of star-sensitive cameras

Abstract

The invention discloses a method for using image recognition to automatically correct the pointing of a star-sensitive camera, comprising the following steps: establishing a coordinate system, calculating the theoretical observation angle of the camera; observing the target sky area; continuously and automatically acquiring the current camera image; The degree value identifies whether there is a fixed bright spot in the image. If it does not exist, adjust the observation angle to re-observe. If it exists, the bright spot is the actual position of the observed target; calculate the reference coordinates and observation coordinates of the observed target, and calculate the observation coordinates and The plane vector difference of the reference coordinates is the alignment error of the star-sensitive camera. If it is within the error range, the correction process is over. If it is not within the error range, the error correction is performed on the observation angle of the star-sensitive camera and re-observation. The invention can automatically identify the observation target by using the image multi-frame recognition method without manual judgment, and automatically correct the current alignment error, thereby improving the observation and pointing accuracy of the star-sensitive camera.

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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