Removal of Thin Clouds in Landsat-8 OLI Data with Independent Component Analysis
AbstractAn 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. View Full-Text
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Shen, Y.; Wang, Y.; Lv, H.; Qian, J. Removal of Thin Clouds in Landsat-8 OLI Data with Independent Component Analysis. Remote Sens. 2015, 7, 11481-11500.
Shen Y, Wang Y, Lv H, Qian J. Removal of Thin Clouds in Landsat-8 OLI Data with Independent Component Analysis. Remote Sensing. 2015; 7(9):11481-11500.Chicago/Turabian Style
Shen, Yang; Wang, Yong; Lv, Haitao; Qian, Jiang. 2015. "Removal of Thin Clouds in Landsat-8 OLI Data with Independent Component Analysis." Remote Sens. 7, no. 9: 11481-11500.