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Radiometric normalization and cloud detection of optical satelliten images using invariant pixels

机译:使用不变像素的光学卫星图像的辐射归一化和云检测

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摘要

Clouds in optical satellite images can be a source of information for water measurement or viewed as contaminations that obstruct landscape observations. Thus, the use of a cloud detection method that discriminates cloud and clear-sky pixels in images is necessary in remote sensing applications. With the aid of radiometric correctionormalization, previous methods utilized temporal and spectral information as well as cloud-free reference images to develop threshold-based cloud detection filters
机译:光学卫星图像中的云可能是水测量信息的来源,或被视为阻碍景观观测的污染物。因此,在遥感应用中,必须使用区分图像中云和晴空像素的云检测方法。借助于辐射校正/归一化,以前的方法利用时间和光谱信息以及无云参考图像来开发基于阈值的云检测滤波器

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