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Image Processing Techniques for Laser Propagation through Atmospheric Turbulence

机译:通过大气湍流传播激光的图像处理技术

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In order to better understand laser beam propagation through the analysis of the fluctuations in scintillation data, images from a 30 frame per second monochrome camera are utilized. Scintillation is the effect of atmospheric turbulence which is known to disrupt and alter the intensity and formation of a laser signal as it propagates through the atmosphere. To model and understand this phenomenon, recorded video output of a laser upon a target screen is inspected to determine how much of an effect the atmospheric turbulence has disrupted the laser signal as it has been propagated upon a set distance. The techniques of data processing outlined in this paper moves toward a software-based approach of determining the effects of propagation and detection of a laser based on the visual fluctuations caused by the scintillation effect. With the aid of such visual models, this paper examines the idea of implementing mathematical models via software that is then validated by the gathered video data taken at Kennedy Space Center.
机译:为了通过分析闪烁数据的波动更好地理解激光束传播,使用了每秒30帧的黑白相机的图像。闪烁是大气湍流的作用,众所周知,湍流会在激光信号通过大气传播时破坏并改变激光信号的强度和形成。为了对这种现象进行建模和理解,检查目标屏幕上激光记录的视频输出,以确定大气湍流在已传播到设定距离上时干扰了激光信号的程度。本文概述的数据处理技术正朝着基于软件的方法发展,该方法基于闪烁效应引起的视觉波动来确定激光的传播和检测效果。借助这种视觉模型,本文研究了通过软件实施数学模型的想法,然后该软件由肯尼迪航天中心采集的视频数据进行了验证。

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