Acquisition Algorithm And Validation Platform Design Based Multi-objective Of The Sky Background

Space mission simulation is the key technology means of ananlys and design of space mission. As the performance of the space product has become increasingly significant in both military and civil area, space mission also become more complicated. As a result, space mission simulation plays a very important role. Microspacecraft is mainly carried out to detect the objects in space. However, the background environment of the micro is rather complicated. Morever, the relative movement among the complex background, the object and the detector makes the recognition even harder. The detector with suchsmall volum, so the hardware resources and processing speed and capacity is just limited. So, the research of the Microspacecraft Algorithm and the design of testing platform have deep meaning.This paper starts from actual situation of the micro space detector, proposes a new recognition algorithm, compared and analyzed with existing algorithms: a compared difference algorithm based on the combination of efficient points Centroid extraction and despun registration. The procedures are as follows: first, label efficient points in the celsetrial background and extract their Centroid; second, make appropriate despun registration, according to the reference rotation angles provided by Space Robot position system; third, translate and register Centroid coordinates of efficient points in reference frames and get the registration points according to the principle that there are the most same Centroid coordinates of efficient points when completely registered; finally eliminate the same background points by using comparative difference method.In the hard ware development flatform design, the Satellite Tool Kit (STK) is used to store simulative video streams that simulates multi-target capture in night sky background. BMP format is saved up in STK and applicated in multiobject capture algorithm, while avi format is preserved tfor platform verified testing. Decompression of avi image and Extraction the BMP images from aviframe by frame. All these are sent to TDS6701 test board. The Centroid registration and compared difference algorithm embedded in DSP processes the bmp image one by one and sent the results in the same format to PC. The processed images are compressed into avi format by VC. In this way, simulative real time vedio caputure is realized with good recognition results.The innovation of this paper: a compared difference algorithm based on the combination of efficient points Centroid extraction and despun registration is proposed and the research of both hardware and software of Microspacecraft object capture algorithm.