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DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images

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arxiv 2001.06342 v1 pith:4WGGNSTM submitted 2020-01-15 eess.IV cs.CVcs.LG

DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images

classification eess.IV cs.CVcs.LG
keywords challengenon-localsuper-resolutiondeepexploitimagesinformationnetwork
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Deep learning methods for super-resolution of a remote sensing scene from multiple unregistered low-resolution images have recently gained attention thanks to a challenge proposed by the European Space Agency. This paper presents an evolution of the winner of the challenge, showing how incorporating non-local information in a convolutional neural network allows to exploit self-similar patterns that provide enhanced regularization of the super-resolution problem. Experiments on the dataset of the challenge show improved performance over the state-of-the-art, which does not exploit non-local information.

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