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Shadow removal in remote sensing images using features sample matting

机译:使用特征样本抠像去除遥感影像中的阴影

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Remote sensing images often suffer from shadow duo to partially or totally occludes direct light from an illumination source. In this paper, we propose a novel shadow removal algorithm. The trimap could be generated automatically by morphological subtraction method according to the result of shadow detection. Then, the weighted color and texture sample selection image matting method is applied in order to obtain the accurate shadow coefficient. The experiment results are illustrated with practical examples and verify the efficacy of this algorithm.
机译:遥感图像经常遭受影子二重奏以部分或完全封闭来自照明源的直接光。在本文中,我们提出了一种新的阴影去除算法。根据阴影检测结果,可以通过形态减法方法自动生成Trimap。然后,应用加权颜色和纹理样本选择图像消光方法以获得精确的阴影系数。实验结果用实际的例子说明并验证了该算法的功效。

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