1 km fog and low stratus detection using pan-sharpened MSG SEVIRI data
1 km fog and low stratus detection using pan-sharpened MSG SEVIRI data
复制标题
使用全色锐化 MSG SEVIRI 数据进行 1 公里雾和低层云检测
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
J. Bendix
中科院分区：
文献类型：
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作者：
H. Schulz;B. Thies;J. Cermak;J. Bendix
抽象的。本文提出了一种从MSG SEVIRI资料中探测1公里分辨率雾和低层云的新技术。该方法依赖于使用1公里高分辨率可见光(HRV)通道对3公里窄带通道进行全色锐化。由于该技术必须对太阳能和热通道进行锐化，因此在现有全息锐化方法的基础上，利用局部回归开发了一种新的方法。最初为3公里SEVIRI数据开发的雾和低层云探测方案被用作从锐化的通道中提取1公里分辨率雾和低层云掩模的基础。锐化的通道和基于它们的雾和低空层面具被目测和通过各种统计方法进行评价。锐化的通道在其像素值和空间特征方面仅与参考图像略有偏离。因此，1公里的雾和低层云面具被认为是高质量的。它们包含许多细节，特别是在雾的范围受复杂地形限制的地方，这些细节在3公里分辨率下是无法检测到的。
Abstract. In this paper a new technique for the detection of fog and low stratus in 1 km resolution from MSG SEVIRI data is presented. The method relies on the pan-sharpening of 3 km narrow-band channels using the 1 km high-resolution visible (HRV) channel. As solar and thermal channels had to be sharpened for the technique, a new approach based on an existing pan-sharpening method was developed using local regressions. A fog and low stratus detection scheme originally developed for 3 km SEVIRI data was used as the basis to derive 1 km resolution fog and low stratus masks from the sharpened channels. The sharpened channels and the fog and low stratus masks based on them were evaluated visually and by various statistical measures. The sharpened channels deviate only slightly from reference images regarding their pixel values as well as spatial features. The 1 km fog and low stratus masks are therefore deemed of high quality. They contain many details, especially where fog is restricted by complex terrain in its extent, that cannot be detected in the 3 km resolution.