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A New Method of Information Enhancement for Hyper-Spectrum Image Covered With Thin Clouds and Realization Based on IDL

机译:一种新的信息增强方法,对薄云图像覆盖的超频率和基于IDL的实现

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The traditional method of removing weak clouds in images often leads to damaging parts of the image that did not need to be modified. This paper proposed a new method based on the principle of satellite imaging and geological statistic theory. By this method, image areas without clouds covering cannot be damaged and parameters of clouds removing model can be calculated automatically for multi-band images. A module is programmed by IDL language to realize the method. The result shows that this algorithm is less computationally expensive than traditional method.
机译:在图像中的弱云移除弱云的传统方法通常导致不需要修改的图像的损坏部分。本文提出了一种基于卫星成像原理和地质统计理论的新方法。通过这种方法,没有云覆盖的图像区域不能损坏,并且可以自动计算云移除模型的参数,用于多频段图像。模块由IDL语言编程以实现方法。结果表明,该算法比传统方法昂贵较低。

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