Cloud detection for Landsat imagery by combining the random forest and superpixels extracted via energy-driven sampling segmentation approaches

A primary challenge in cloud detection is associated with highly mixed scenes that are filled with broken and thin clouds over inhomogeneous land. To tackle this challenge, we developed a new algorithm called the Random-Forest-based cloud mask (RFmask), which can improve the accuracy of cloud identi...

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