Publications

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Below you will find a list of selected publications and presentations

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Hypernet

Validating hyperspectral image segmentation.
Jakub Nalepa, Michal Myller, Michal Kawulok
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IEEE Geoscience and Remote Sensing Letters, pp 1-5, 2019, DOI: 10.1109/LGRS.2019.2895697
On data augmentation for segmenting hyperspectral images.
Jakub Nalepa, Michal Myller, Michal Kawulok, Bogdan Smolka
Paper 10996-8, pp 1-8, Proc. SPIE Defense+Commercial Sensing 2019, Baltimore, USA, 2019 (in press)
Segmentation of multispectral data simulated from hyperspectral imagery.
Michal Marcinkiewicz, Michal Kawulok, Jakub Nalepa
pp 1-4, Proc. IEEE IGARSS 2019, Yokohama, Japan, 2019 (in press)
Segmentation of reduced hyperspectral image data, European Workshop on on-board data processing.
Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Marek Antoniak, Michal Marcinkiewicz, Krzysztof Czyz
OBDP 2019, ESA, ESTEC, Noordwijk, The Netherlands, 2019
Accurate segmentation of hyperspectral images using deep neural networks – Are we there yet?
Jakub Nalepa, Michal Marcinkiewicz, Pablo Ribalta Lorenzo, Krzysztof Czyz, Michal Kawulok
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PhiWeek 2018, Frascati, Italy, 2018, Video time 1:09

Super Resolution Reconstruction (SRR)

Super-resolution reconstruction using deep learning: should we go deeper?
Kostrzewa D., Piechaczek S., Hrynczenko K., Benecki P., Nalepa J., Kawulok M.
Communication in Computer and Information Science, Springer 2019.
Deep Learning for Fast Super-Resolution Reconstruction from Multiple Images. Proceedings of the SPIE.
Kawulok M., Benecki P., Hrynczenko K., Kostrzewa D., Piechaczek S., Nalepa J., Smolka B.
Defence+Commercial Sensing Conference 2019, Baltimore, US 2019.
B4MultiSR: A Benchmark for Multiple-Image Super-Resolution Reconstruction.
Kostrzewa D., Skonieczny L., Benecki P., Kawulok M.
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Communications in Computer and Information Science, Springer 2018, s. 361-375.
Evaluating super-resolution reconstruction of satellite images.
Kawulok M., Kostrzewa D., Benecki P., Skonieczny L.
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Acta Astronautica, Vol. 153, Elsevier 2018, s 15-25.
Evolving imaging model for super-resolution reconstruction.
Kawulok M., Benecki P., Kostrzewa D., Skonieczny L.
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Proceedings of the Genetic and Evolutionary Computation Conference, Kyoto, Japan 2018, s. 284-285.
Towards Evolutionary Super-Resolution.
Kawulok M., Benecki P., Kostrzewa D., Skonieczny L.
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Lecture Notes in Computer Science, Vol. 10784, Springer 2018, s. 480-496.
Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction.
Kawulok M., Benecki P., Nalepa J., Kostrzewa D., Skonieczny L.
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Lecture Notes in Computer Science, Vol. 10751, Springer 2018, s. 476-486.
Optimizing Super-resolution Reconstruction using a Genetic Algorithm.
Kawulok M., Kostrzewa D., Benecki P., Skonieczny L.
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Proceedings of the 10th International Conference on Agents and Artificial Intelligence, Vol. 2, ScitePress 2018, s. 599-605.
Segmentation of multispectral data simulated from hyperspectral imagery
Michal Marcinkiewicz, Michal Kawulok, Jakub Nalepa
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IEEE International Geoscience and Remote Sensing Symposium - IGARSS 2019 - Yokohama, Japan - 28 July - 2 August 2019
On training deep networks for satellite image super-resolution
Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa
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IEEE International Geoscience and Remote Sensing Symposium - IGARSS 2019 - Yokohama, Japan - 28 July - 2 August 2019
Training- and Test-Time Data Augmentation for Hyperspectral Image Segmentation
Jakub Nalepa, Michal Myller, Michal Kawulok
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IEEE Geoscience and Remote Sensing Letters, pp 1-5, 2019, DOI: 10.1109/LGRS.2019.2921011

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