Combined Haze and Cirrus Removal for Multispectral Imagery
Combined Haze and Cirrus Removal for Multispectral Imagery
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DOI：
10.1109/lgrs.2016.2515110
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发表时间：
2016-01
影响因子：
4.8
通讯作者：
A. Makarau;R. Richter;D. Schläpfer;P. Reinartz
中科院分区：
文献类型：
--
作者：
A. Makarau;R. Richter;D. Schläpfer;P. Reinartz
多光谱卫星图像经常受到雾霾和/或卷云的污染。先前的一篇论文提出了一种基于局部搜索暗物体计算雾霾厚度图（HTM）的去霾方法。假设雾霾影响的加性模型，通过从雾霾图像中减去HTM来恢复无雾信号。采用1.38 μm卷云波段，大大改进了HTM方法。大气顶部的反射率卷云波段被用作额外的信息源。该方法恢复了被低空雾霾和高空卷云衰减的高度不均匀表面的信息，在保留光谱特征形状的同时提高了对场景内容的解释。新的增强HTM方法成功地应用于Landsat-8 OLI和Sentinel-2的真实和模拟场景。
Multispectral satellite images are often contaminated by haze and/or cirrus. A previous paper presented a haze removal method that calculates a haze thickness map (HTM) based on a local search of dark objects. The haze-free signal is restored by subtracting the HTM from the hazy image assuming an additive model of the haze influence. The HTM method is substantially improved by employing the 1.38-μm cirrus band. The top-of-atmosphere reflectance cirrus band is used as an additional source of information. The method restores the information in highly inhomogeneous surfaces attenuated by a low-altitude haze and high-altitude cirrus, improving the interpretation of the scene content while preserving the shape of the spectral signatures. The new enhanced HTM method is successfully applied to Landsat-8 OLI and Sentinel-2 real and simulated scenes.