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An integration time adaptive control method for atmospheric composition detection of occultation

机译:枢层大气成分检测的集成时间自适应控制方法

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When sun is used as the light source for atmospheric composition detection, it is necessary to image sun for accurate identification and stable tracking. In the course of 180 second of the occultation, the magnitude of sun light intensity through the atmosphere changes greatly. It is nearly 1100 times illumination change between the maximum atmospheric and the minimum atmospheric. And the process of light change is so severe that 2.9 times per second of light change can be reached. Therefore, it is difficult to control the integration time of sun image camera. In this paper, a novel adaptive integration time control method for occultation is presented. In this method, with the distribution of gray value in the image as the reference variable, and the concepts of speed integral PID control, the integration time adaptive control problem of high frequency imaging. The large dynamic range integration time automatic control in the occultation can be achieved.
机译:当太阳用作大气成分检测的光源时,需要以精确的识别和稳定的跟踪来映像太阳。在180秒的掩星的过程中,通过大气的太阳光强度的大小大大变化。最大大气和最小大气之间的照明变化近1100倍。光变化的过程是如此严重的是,可以达到每秒2.9次光变化。因此,难以控制太阳图像相机的集成时间。本文介绍了一种新的掩星自适应集成时间控制方法。在这种方法中,随着图像中的灰度值分布作为参考变量,以及速度积分PID控制的概念,高频成像的集成时间自适应控制问题。可以实现宫宇中的大动态范围集成时间自动控制。

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