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A shadow processing method of high spatial resolution remote sensing image

机译:高空间分辨率遥感影像的阴影处理方法

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The shadows on the High Spatial Resolution Remote Sensing Image (HSRRSI) have negative effects and building shadows of large area on HSRRSI (up to 30% in some cases) are one of the biggest obstructions. This paper introduces a semi-automated method for shadow removal in high spatial resolution satellite image. At first, the image consists of three parts: shadow regions, non-shadowed regions and transition regions through semi-automated human-computer interaction. Then the shadow regions are equalized to the non-shadowed regions through histogram transformation. At last, post-processing on the shadow regions edges gets the result of a smooth image without shadows. The experiment results show that this method is valid.
机译:高空间分辨率遥感影像(HSRRSI)上的阴影具有负面影响,并且大面积的建筑物阴影(在某些情况下高达30%)是HSRRSI的最大障碍之一。本文介绍了一种半自动的高空间分辨率卫星图像阴影去除方法。首先,图像由三部分组成:阴影区域,非阴影区域和通过半自动人机交互的过渡区域。然后通过直方图变换将阴影区域均衡为非阴影区域。最后,对阴影区域边缘进行后处理可得到没有阴影的平滑图像的结果。实验结果表明该方法是有效的。

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