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Removal of Thin Clouds in Landsat-8 OLI Data with Independent Component Analysis

机译:利用独立分量分析去除Landsat-8 OLI数据中的薄云

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An approach to remove clouds in Landsat-8 operational land imager (OLI) data was developed with independent component analysis (ICA). Within cloud-covered areas, histograms were derived to quantify changes of the reflectance values before and after the use of the algorithm. Referred to a cloud-free image, changes of histogram curves validated the algorithm. Scatterplots were generated and linear regression performed for the reflectance values of each band before and after the algorithm, and compared to those of the reference image. Band-by-band, results in cloud removal were acceptable. The algorithm had little effect on pixels in cloud-free areas after the analyses of histograms, scatterplots, and linear regression equations. Finally, the algorithm was applied to various land use and land cover types and cloud conditions, and to a full Landsat-8 scene yielding satisfactory results efficiently.
机译:利用独立分量分析(ICA),开发了一种去除Landsat-8陆地成像仪(OLI)数据中云的方法。在云覆盖的区域内,导出直方图以量化使用该算法之前和之后的反射率值的变化。称为无云图像,直方图曲线的变化验证了该算法。生成散点图,并对算法前后每个波段的反射率值进行线性回归,并与参考图像进行比较。逐个带,去除云的结果是可以接受的。在分析直方图,散点图和线性回归方程后,该算法对无云区域中的像素影响很小。最后,将该算法应用于各种土地利用和土地覆盖类型以及云条件,并应用于完整的Landsat-8场景,可以有效地产生令人满意的结果。

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