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Uneven cloud and fog removing for satellite remote sensing image

机译:去除不均匀的云雾和雾,以获取卫星遥感图像

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Haze is an important influence factor of visible light RS data's obtaining and using. Based on dark channel prior and haze image model, this paper studies the dehaze technology from a single satellite RS image. Aim at the characteristic of uneven cloud in satellite RS image and the problem of the unreasonable estimate for airlight in dehaze method, this paper designed a new method for airlight computing, which did not reduce the image definition in clear area. This method joined the information of cloud density, and the result have no over processing and ill-processing problem. At last, using medium-resolution image and high-resolution image to make system experiment, the result is effective.
机译:雾度是可见光RS数据获取和使用的重要影响因素。基于暗通道先验和雾度图像模型,本文从单个卫星RS图像中研究了除雾技术。针对卫星遥感影像中云量不均匀的特点,以及除雾法中航光估计不合理的问题,设计了一种新的航光计算方法,该方法不降低清晰区域的图像清晰度。该方法结合了云密度信息,结果没有过度处理和不良处理的问题。最后,利用中分辨率图像和高分辨率图像进行系统实验,结果是有效的。

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