Real-time Detection and Tracking Method of Space Debris

Abstract

The invention discloses a real-time space debris detection and tracking method and solves a technical problem that a space debris target identification method in the prior art has a high false alarm rate. The method comprises steps that firstly, fixed star deletion is carried out on the basis of a sequence image aster set and motion compensation parameters, secondly, a target chain is acquired through a local linear movement model through detecting aster points after fixed star removal, thirdly, target motion model parameters acquired through detection are estimated through least squares; lastly, subsequent prediction and tracking of the target chain are carried out through the model. According to the method, detection and tracking of the space debris are combined, noise having characteristics similar to the space debris can be effectively prevented from interfering space debris detection and tracking results, the space debris target in a general state can be efficiently detected and tracked, the false alarm rate is relatively low, and the method further has advantages of rapidness, robustness and timeliness.

Description

technical field [0001] The invention relates to a space debris target recognition method, in particular to a space debris real-time detection and tracking method. Background technique [0002] The document "Rapid identification and precise positioning of space targets in the background of starry sky, "Optical Precision Engineering", 2015, No. 2, p589-599" proposed a fast identification method for space debris targets based on constraints. In this method, the inter-frame difference of 3 consecutive CCD images is performed to initially extract the target, and then the noise is filtered through morphological filtering. Finally, according to the constraint condition that "the measurement coordinates of the space debris target form an arithmetic sequence", the rapid identification of the space debris target is realized. . Since this method only recognizes the debris target based on the target motion characteristics of three consecutive images, it does not fully utilize the featu...

AI Technical Summary

Problems solved by technology

Since this method only recognizes the debris target based on the target motion characteristics of three consecutive images, it does not fully utilize the feature information of the debris in the entire sequence of images, and the target screening conditions are simple, so that there are many space debris detection and tracking results. Noise interference, which makes it easy for the algorithm to misdetect noise as the target, and the false alarm rate is high

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