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Using turbulence scintillation to assist object ranging from a single camera viewpoint

机译:使用湍流闪烁来帮助从单个摄像头视点提供对象

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摘要

Image distortions caused by atmospheric turbulence are often treated as unwanted noise or errors in many image processing studies. Our study, however, shows that in certain scenarios the turbulence distortion can be very helpful in enhancing image processing results. This paper describes a novel approach that uses the scintillation traits recorded on a video clip to perform object ranging with reasonable accuracy from a single camera viewpoint. Conventionally, a single camera would be confused by the perspective viewing problem, where a large object far away looks the same as a small object close by. When the atmospheric turbulence phenomenon is considered, the edge or texture pixels of an object tend to scintillate and vary more with increased distance. This turbulence induced signature can be quantitatively analyzed to achieve object ranging with reasonable accuracy. Despite the inevitable fact that turbulence will cause random blurring and deformation of imaging results, it also offers convenient solutions to some remote sensing and machine vision problems, which would otherwise be difficult. (c) 2018 Optical Society of America
机译:由大气湍流引起的图像扭曲通常被视为许多图像处理研究中的不必要的噪声或错误。然而,我们的研究表明,在某些情况下,湍流失真在增强图像处理结果方面非常有用。本文介绍了一种新的方法,它使用记录在视频剪辑上的闪烁特征来从单个相机视点执行具有合理精度的对象范围。传统上,透视观察问题将混淆单个相机,其中一个远离的大物体看起来与靠近的小物体相同。当考虑大气湍流现象时,物体的边缘或纹理像素倾向于闪烁并随着距离的增加而变化。可以定量地分析这种湍流诱导的签名以实现具有合理精度的物体测距。尽管湍流造成湍流将导致成像结果随机模糊和变形,但它还为一些遥感和机器视觉问题提供方便的解决方案,否则否则将困难。 (c)2018年光学学会

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