Publications

Are you interested in our solutions?
Below you will find a list of selected publications and presentations

HYPERSPECTRAL DATA ANALYSIS

Segmentation of hyperspectral images using self-organizing maps
Pawel Sanocki, Michal Kawulok, Bogdan Smolka, Jakub Nalepa
Learn more
Proceedings Volume 11736, Real-Time Image Processing and Deep Learning 2021; 117360M (2021) https://doi.org/10.1117/12.2586236 Event: SPIE Defense + Commercial Sensing, 2021, Online Only
Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions
Jakub Nalepa, Michal Myller, Marcin Cwiek, Lukasz Zak, Tomasz Lakota, Lukasz Tulczyjew, Michal Kawulok
Learn more
Remote Sens. 2021, 13(8), 1532; https://doi.org/10.3390/rs13081532
Segmenting Hyperspectral Images Using Spectral Convolutional Neural Networks in the Presence of Noise
Jakub Nalepa; Marek Stanek
Learn more
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. Date of Conference: 26 Sept.-2 Oct. 2020
Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks
Jakub Nalepa; Lukasz Tulczyjew; Michal Myller; Michal Kawulok
Learn more
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. Date of Conference: 26 Sept.-2 Oct. 2020
Leopard: A new chapter in on-board deep learning-powered analysis of hyperspectral imagery
Jakub Nalepa, Piotr Kuligowski, Michał Gumiela, Marcin Drobik, Maciej Nowak
Proc. 71st International Astronautical Congress (IAC) – The CyberSpace Edition, pp. 1 – 4, 12-14 October 2020.
Toward automated collision avoidance: Predicting the risk of satellite collisions using machine learning-powered techniques
Łukasz Tulczyjew, Michał Myller, Michał Kawulok, Daniel Kostrzewa, Jakub Nalepa
Proc. 71st International Astronautical Congress (IAC) – The CyberSpace Edition, pp. 1 – 4, 12-14 October 2020.
The size matters: On-board hyperspectral data reduction using deep learning
Jakub Nalepa, Łukasz Tulczyjew, Michał Myller, Michał Kawulok
Proc. 7th International Workshop on On-Board Payload Data Compression, September 21-23, pp. 1 – 8, European Space Agency Conference, 2020.
Look Ma, No Ground Truth! Extracting value from multi- and hyperspectral images using unsupervised learning
Jakub Nalepa, Łukasz Tulczyjew, Michał Myller, Michał Kawulok
Learn more
European Space Agency Earth Observation Φ-Week, Φ-Week 2020, Online Conference.
Unsupervised Feature Learning Using Recurrent Neural Nets for Segmenting Hyperspectral Images
Łukasz Tulczyjew, Michał Kawulok, Jakub Nalepa
Learn more
IEEE Geoscience and Remote Sensing Letters, pp. 1-5, 2020
Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks
Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa
Learn more
IEEE Access, vol. 8, pp 42384-42403, IEEE, 2020.
Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation
Jakub Nalepa, Marek Antoniak, Michal Myller, Pablo Ribalta Lorenzo, Michal Marcinkiewicz
Learn more
Microprocessors and Microsystems, 102994, pp 1-44, Elsevier, 2020
Unsupervised Segmentation of Hyperspectral Images Using 3-D Convolutional Autoencoders
Jakub Nalepa, Michal Myller, Yasuteru Imai, Ken-Ichi Honda, Tomomi Takeda, Marek Antoniak
Learn more
IEEE Geoscience and Remote Sensing Letters, pp 1-5, 2019, DOI: 10.1109/LGRS.2019.2960945
Transfer Learning for Segmenting Dimensionally Reduced Hyperspectral Images
Jakub Nalepa, Michal Myller, Michal Kawulok
Learn more
IEEE Geoscience and Remote Sensing Letters, pp 1-5, 2019, DOI: 10.1109/LGRS.2019.2942832
Training- and Test-Time Data Augmentation for Hyperspectral Image Segmentation
Jakub Nalepa, Michal Myller, Michal Kawulok
Learn more
IEEE Geoscience and Remote Sensing Letters, pp 1-5, 2019, DOI: 10.1109/LGRS.2019.2921011
Validating hyperspectral image segmentation.
Jakub Nalepa, Michal Myller, Michal Kawulok
Learn more
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
Learn more
PhiWeek 2018, Frascati, Italy, 2018, Video time 1:09

SUPER RESOLUTION RECONSTRUCTION (SRR)

Selecting Features from Time Series Using Attention-Based Recurrent Neural Networks
Michal MyllerMichal KawulokJakub Nalepa
Learn more
Lecture Notes in Computer Science book series (LNCS, volume 12644)
Multiple-Image Super-Resolution Using Deep Learning and Statistical Features
Jakub Nalepa, Krzysztof HrynczenkoMichal Kawulok
Learn more
Lecture Notes in Computer Science book series (LNCS, volume 12644)
Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study
Michal Kawulok; Pawel Benecki; Jakub Nalepa; Daniel Kostrzewa
Learn more
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. Date of Conference: 26 Sept.-2 Oct. 2020
Deep Learning for Multiple-Image Super-Resolution
Michal Kawulok, Pawel Benecki, Szymon Piechaczek, Krzysztof Hrynczenko, Daniel Kostrzewa, Jakub Nalepa
Learn more
IEEE Geoscience and Remote Sensing Letters, pp 1-5, 2019, DOI: 10.1109/LGRS.2019.2940483
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.
Learn more
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.
Learn more
Acta Astronautica, Vol. 153, Elsevier 2018, s 15-25.
Evolving imaging model for super-resolution reconstruction.
Kawulok M., Benecki P., Kostrzewa D., Skonieczny L.
Learn more
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.
Learn more
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.
Learn more
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.
Learn more
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
Learn more
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
Learn more
IEEE International Geoscience and Remote Sensing Symposium - IGARSS 2019 - Yokohama, Japan - 28 July - 2 August 2019

Contact us

Write, call us or meet us directly!