Prediction and correction method of node of star point track image

Abstract

The invention provides a prediction and correction method of nodes of a star point track image, and the method comprises the following steps of: (1) the prediction and the imaging of a star point dynamic track with nodes; (2) the judgment of the nodes and the selection of a template; (3) the correction. The prediction and correction method of nodes of a star point track image of the invention performs a selective judgment and a position correction with pronounced features to the nodes on a star point trajectory, ensures the prominence and the position precision of the template at the node, consequently ensures the processing precision of a deep-space star point track image, and facilitates the improvement of the matching precision of the next step.

Description

technical field [0001] The invention belongs to the field of image processing of deep-space optical autonomous navigation, and in particular relates to a pre-processing technology of a deep-space optical image processing algorithm. Background technique [0002] The deep-space flight segment is different from the near-Earth orbit. In addition to the stars in the field of view, the navigation star targets used in optical navigation also select the asteroids that appear around the cruising segment at different times. Due to the low detection magnitude, it is 9~ Stars of magnitude 12 require long-term exposure of the optical navigation sensor. During the exposure time, the shaking of the detector attitude is significantly affected. The imaging of the navigation celestial body is no longer a single star point, but changes its position in the image with the disturbance, forming a trajectory line , brings new challenges to its image processing methods and simulation methods, and ne...

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Problems solved by technology

However, in the literature, it is believed that the extraction of nodes is predicted, and

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