Star sensor star point segmentation method based on double gradient thresholds

Abstract

The invention discloses a star sensor star point segmentation method based on double gradient thresholds. The star sensor star point segmentation method comprises the following steps: acquiring a gray distribution matrix; obtaining a gradient component matrix of the star map according to the gray scale distribution matrix; processing the gradient component matrix to obtain a segmented star map; and solving a union set of segmented star maps obtained from two dimensions of rows and columns to obtain a star map. The method provided by the invention has the effects that the probability of star point false detection in a star map can be effectively reduced by adopting double gradient threshold segmentation; the method for solving the star map gradient through differential processing can effectively improve the detection capability of dark stars under complex background conditions. Meanwhile, branch gradient judgment is utilized, and the capacity of removing noise of the detector is achieved under the condition of high dark star detection capacity; a star point branch compensation method is adopted, gradient judgment is carried out on a star point branch window obtained through double gradient threshold segmentation to compensate for adjacent star point pixels, the star point pixel segmentation integrity of the star sensor is improved, and the precision of a subsequent star point extraction algorithm is improved.

Description

technical field [0001] The invention relates to the field of aerospace technology, in particular to a star point segmentation method of a star sensor, in particular to a star point segmentation method of a star sensor based on a double gradient threshold. Background technique [0002] High-precision attitude measurement is an important guarantee for the normal operation of the navigation systems of spacecraft, aircraft and missiles. Among today's various attitude measurement components, the star sensor is one of the devices with the highest attitude measurement accuracy. The star sensor is based on the stars in the deep space of the star map, and provides accurate attitude information for the carrier by detecting the coordinates of the center of mass of the stars and matching them with the data of the navigation star database. The positions of the stars and the earth usually remain relatively stationary, and the pixel area occupied by the stars in the area sensor is small, ...

AI Technical Summary

Problems solved by technology

[0007] The present invention provides a star point segmentation method for star sensors based on dual gradient thresholds, the purpose of which is to solve the problem of pixel segmentation of star points under complex background conditions, thereby suppressing background noise and improving the star point segmentation algorithm of star sensors under complex background conditions The specific technical scheme of precision is as follows:

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