Microsatellite non-cooperative target image processing method

Abstract

The invention discloses a microsatellite non-cooperative target image processing method. The microsatellite non-cooperative target image processing method comprises the steps that through calculation of the number N of pixels occupied by a target satellite in a frame of initial image, whether the number N of the pixels is larger than a preset threshold value or nor is judged, if not, the feature of the target satellite in the frame of initial image is identified based on the feedback linear separation method, and if yes, the feature of the target satellite in the frame of initial image is identified based on the feedback linear aggregation method. According to the microsatellite non-cooperative target image processing method, the feature of the target satellite can be directly extracted, additional arrangement and refitting do not need to be conducted on the target satellite, and no special requirement for the target satellite exists. Compared with a cooperative target image processing method, a relevant hardware structure for executing the microsatellite non-cooperative target image processing method is low in power consumption and light in weight. Compared with a method that for different relative distances of the target satellite, different feather extraction algorithms are applied in a self-adaptation mode and wide-range feature extraction is achieved, the needed feature of the target satellite can be extracted as long as the target satellite has appropriate light.

Description

technical field [0001] The invention belongs to the technical field of spacecraft measurement and image processing, and in particular relates to an image processing method for non-cooperative targets of microsatellites. Background technique [0002] In the process of space rendezvous and docking, it is necessary to accurately measure and track relative motion information such as relative position, relative attitude angle, relative velocity and relative attitude angular velocity between the tracking spacecraft and the target star. In order to obtain accurate attitude information of the measured target, the existing cooperative target algorithm needs to carry out certain modifications or additional processing on the target, which increases the power consumption and weight of the target star. Therefore, there is an urgent need for a method that can effectively overcome these Disadvantages of non-cooperative object image processing methods. Contents of the invention [0003] ...

AI Technical Summary

Problems solved by technology

In order to obtain accurate attitude information of the measured target, the existing cooperative target algorithm needs to carry out certain modifications or additional processing on the target, which increases the power consumption and weight of the target star. Therefore, there is an urgent need for a method that can effectively overcome these Disadvantages of non-cooperative object image processing methods

Images