A Cloud-Contamination Removal Algorithm by Combining Image Segmentation and Level-set-based Approaches for Remote Sensing Images

Duangkamol Tedlek, S. Khoomboon, T. Kasetkasem, T. Chanwimaluang, I. Kumazawa
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引用次数: 4

Abstract

This paper proposes a cloud removal algorithm for satellite images that are obscured by clouds. Our concept is to separate the land cover map into the segments. After that, we localize and indicate the degree of cloud thickness map by using a level set function. As the continuity of the level set function, the gradient approach is deployed by using the calculus of variation. Our example shows that our model can mitigate the effect clouds in images.
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基于图像分割和水平集的遥感图像云污染去除算法
针对被云遮挡的卫星图像,提出了一种去除云的算法。我们的概念是把土地覆盖图分成几个部分。在此基础上,利用水平集函数对云厚度图进行定位并表示云厚度图的程度。作为水平集函数的连续性,梯度方法采用变分法进行部署。我们的例子表明,我们的模型可以减轻图像中的影响云。
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