DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images
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...
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Zusammenfassung: | 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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DOI: | 10.48550/arxiv.2001.06342 |