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On training deep networks for satellite image super-resolution

On training deep networks for satellite image super-resolution

IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019
16 June 2019
M. Kawulok
Szymon Piechaczek
Krzysztof Hrynczenko
Pawel Benecki
Daniel Kostrzewa
J. Nalepa
    SupR
ArXiv (abs)PDFHTML

Papers citing "On training deep networks for satellite image super-resolution"

3 / 3 papers shown
Enhancing Sentinel-2 Image Resolution: Evaluating Advanced Techniques
  based on Convolutional and Generative Neural Networks
Enhancing Sentinel-2 Image Resolution: Evaluating Advanced Techniques based on Convolutional and Generative Neural Networks
Patrick Kramer
Alexander Steinhardt
Barbara Pedretscher
109
2
0
01 Oct 2024
MuS2: A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution
MuS2: A Real-World Benchmark for Sentinel-2 Multi-Image Super-ResolutionScientific Data (Sci Data), 2022
Paweł Kowaleczko
Tomasz Tarasiewicz
Maciej Ziaja
Daniel Kostrzewa
J. Nalepa
Przemyslaw Rokita
M. Kawulok
SupR
158
32
0
06 Oct 2022
Super-resolution of multispectral satellite images using convolutional
  neural networks
Super-resolution of multispectral satellite images using convolutional neural networks
Markus U. Müller
N. Ekhtiari
Rodrigo M. Almeida
Christoph Rieke
SupR
103
54
0
03 Feb 2020
1