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Spatial analysis of ground-based IR cloudy sky images

机译:地面红外多云天空图像的空间分析

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摘要

Abstract: In the development and analysis of sophisticated IR detection and recognition systems it is necessary to have a priori knowledge of the background clutter. In this paper, the spatial structure of ground-based infrared cloudy sky images is analyzed in terms of the spatial power spectrum and the spatial autocorrelation function. The experimental results we obtained for ground- based IR cloudy sky images do not fit the analytical model of the Wiener Spectrum that is frequently used to describe natural clutter sources in the infrared. The spatial structure of ground-based cloudy sky IR images was found to be dependent on the percentage cloud cover in the image. A corrected model was developed that relates the spatial structure of cloudy sky images to the percentage cloud cover in the image.!15
机译:摘要:在开发和分析复杂的红外检测和识别系统时,必须对背景杂波有先验知识。本文从空间功率谱和空间自相关函数的角度分析了地面红外多云天空图像的空间结构。我们从地面获得的红外多云天空图像获得的实验结果与维纳光谱的分析模型不符,该模型通常用于描述红外中的自然杂波源。发现基于地面的多云天空红外图像的空间结构取决于图像中云层覆盖的百分比。已开发出一种校正模型,该模型将多云天空图像的空间结构与图像中云层覆盖的百分比相关联!15

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