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Using independent component analysis (ICA) coupled with the quality assessment (QA) band of Landsat 8, an approach for thin cloud removal in Landsat 8 operational land imager (OLI) data was developed. After the ICA transformation of the visible, near infrared, short-wavelength and cirrus bands of OLI data, cloud component was identified by the mixing matrix. Then, a cloud mask derived from the analysis...
An algorithm to remove thin clouds within the visible bands was developed based on the simplified radiative transfer equation and two assumptions. We evaluated the algorithm using a Landsat8 sub-image of 041/036 (path/row) acquired on 29 March 2014. Thin clouds disappeared visually. With a nearly cloud-free image acquired on 14 April 2014 as the “truth”, the spatial coefficients between the “truth”...
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