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The Study of Video Image Processing for Small Satellites Formation Flying Experiment

机译:小型卫星形成飞行实验视频图像处理研究

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This paper presents the simulation experiment on the ground, for validating the key technologies of satellites formation flying. In the experiment, machine vision method is adopted to validate autonomous controlling algorithm and relative distance measurement among satellites. In the experiment, the vision system is built for capturing the dynamic digital images. The vision system consists of a camera, a computer used for receiving video images and image processing software. The function of image processing software is as follow; Firstly, the digital image is segmented by a given threshold, for the gray value of drones is bigger than the gray value of background and other objects, by means of abundant experiments , a suitable threshold is obtained which make the targets be selected from the background images ; Secondly, the marking algorithm is designed based on the connectivity of target area, all the targets are marked by this algorithm. During the marking process, different targets are marked by different marking numbers, when all the targets have been marked, the position and count of marks which have the same marking number are counted, and the average is the target' position; Lastly, according to the marking result, the recognition software is designed in order to recognize the marked targets, and the data are intended for the formation keeping or formation reshaping of simulators.
机译:本文介绍了地面上的仿真实验,用于验证卫星形成飞行的关键技术。在实验中,采用机器视觉方法来验证卫星之间的自主控制算法和相对距离测量。在实验中,视觉系统用于捕获动态数字图像。视觉系统由相机组成,用于接收视频图像和图像处理软件的计算机。图像处理软件的功能如下;首先,通过给定阈值对数字图像进行分割,对于无人机的灰度值大于背景的灰度值和其他对象,通过丰富的实验,获得了合适的阈值,这使得从背景中选择目标图片 ;其次,基于目标区域的连接设计标记算法,所有目标都标有该算法。在标记过程中,当所有目标被标记时,不同的标记数字标记不同的目标,计算具有相同标记数的标记的位置和计数,并且平均值是目标的位置;最后,根据标记结果,设计了识别软件以识别标记的目标,并且数据旨在用于模拟器的形成保持或形成重塑。

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