Shadow is one of the features in remote sensing image. It affects image matching, change detection or information extraction. But removing that is usually very hard in image processing.

阴影是遥感影像的基本特征之一，它将干扰图像匹配、图象变化检测或图像中信息的提取，而去除阴影则是遥感图像处理的难题。

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To solve the first problem, a spatially weighted LBP histogram is proposed to be the feature vector and a shadow removing method is introduced.

为了解决第一个问题，本文提出用空间加权的LBP直方图作为特征并引入了阴影消除算法。

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An approach of removing thick cloud and cloud shadow in remote sensing image based on support vector machine is suggested.

提出一种基于支持向量机的遥感影像厚云及云阴影去除方法。

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