Method for detecting and tracking space target in space-based optical sequential image

Abstract

The invention discloses a method for detecting and tracking a space target in a space-based optical sequential image. The method comprises the steps of (1) acquiring continuous N framesof star charts, carrying out image de-noising on the N frames of star charts, and then extracting star point targets in each frame of star chart; (2) ranking the star point targets in each frame of star chart according to brightness, identifying three fixed stars in each frame of star chart in order by using a triangle matching method, and taking all of the fixed stars which appear in each frame of star chart as reference fixed stars; (3) calculating displacement pixel distances of the reference fixed stars in the N frames of star charts on the star charts, as movement speeds of all fixed star backgrounds in the star charts; (4) detecting the space target in the star chart according to the movement speed information; and (5) acquiring the movement information of the space target. According to the method, on the basis of space target detection, the space target is tracked in combination with Kalman filtering, and the method provides a technical support for calculation and continuous updating of position information of the space target in the deep space.

Description

technical field [0001] The invention belongs to the technical field of space target recognition, and more particularly relates to a space target detection and tracking method in space-based optical sequence images. Background technique [0002] Space target recognition technology based on space-based optical detection images is becoming a research hotspot in the field of aerospace. The main background of space-based optical detection images is stars and stars. Space objects can be regarded as dark and weak points because they do not emit light and have a long detection distance. In the identification process, information such as brightness or shape cannot be used to distinguish space objects from stars and stars, especially It is difficult to identify and track space targets when dealing with sequence star maps. [0003] The existing technology finds the space target by directly processing the photos of the starry sky taken by the star sensor on the orbiting satellite platf...

AI Technical Summary

Problems solved by technology

The main background of space-based optical detection images is stars and stars. Space objects can be regarded as dark and weak points because they do not emit light and have a long detection distance. In the identification process, information such as brightness or shape cannot be used to distinguish space objects from stars and stars, especially It is difficult to identify and track space targets when processing sequence star maps

[0003] The existing technology finds the space target by directly processing the photos of the starry sky taken by the star sensor on the orbiting satellite platform. This technology expands the application of the star sensor, but mainly relies on the long track on the image to judge whether it is a space target , when the space object appears as a point object similar to a star in the star map, this method cannot be applied

[0004] There is also a kind of on-orbit space target recognition method, which uses the method of star image alignment to remove the star background, and uses multi-frame correlation technology to identify space targets, but this type of method does not involve the tracking of space targets in sequence frame images

[0005] There is another type of image taken by the space debris optical detector, which identifies the space debris target through the long track on the imaging surface. This method cannot accurately calculate the position correlation information between the space target and other stars in the background of the starry sky.

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