Reconstructing Cloud-Contaminated Multispectral Images With Contextualized Autoencoder Neural Networks
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DOI: 10.1109/tgrs.2017.2777886
Abstract: The accurate reconstruction of areas obscured by clouds is among the most challenging topics for the remote sensing community since a significant percentage of images archived throughout the world are affected by cloud covers which… read more here.
Keywords: image; multispectral images; reconstructing cloud; autoencoder neural ... See more keywords