Publications

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Below you will find a list of selected publications and presentations

Increasing the potential of Sentinel-2 imagery with multiple-image super-resolution
Michal Kawulok, Tomasz Tarasiewicz, Maciej Ziaja, Diana Tyrna, Daniel Kostrzewa, Jakub Nalepa
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European Space Agency Earth Observation Φ-Week, Φ-Week 2021, Online Conference
Robust Cloud Detection from Satellite Images Using Deep Learning: Are We There Yet?
Bartosz Grabowski, Marcin Cwiek, Maciej Ziaja, Michal Kawulok, Jakub Nalepa
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European Space Agency Earth Observation Φ-Week, Φ-Week 2021, Online Conference
Quantifying the “Unquantifiable”: How to Estimate the Robustness of the On-board AI for Hyperspectral Image Analysis
Jakub Nalepa, Michal Myller, Marcin Cwiek, Lukasz Zak, Tomasz Lakota, Lukasz Tulczyjew, Michal Kawulok
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European Space Agency Earth Observation Φ-Week, Φ-Week 2021, Online Conference
Deep Learning for Multiple-Image Super-Resolution of Sentinel-2 Data
Michal Kawulok, Tomasz Tarasiewicz, Jakub Nalepa, Diana Tyrna, Daniel Kostrzewa
IGARSS 2021
Towards Robust Cloud Detection in Satellite Images Using U-Nets
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Jakub Nalepa
IGARSS 2021
Investigating the Impact of the Training Set Size on Deep Learning-Powered Hyperspectral Unmixing
Lukasz Tulczyjew, Jakub Nalepa
IGARSS 2021
Benchmarking Deep Learning for On-Board Space Applications
Maciej Ziaja, Piotr Bosowski, Michal Myller, Grzegorz Gajoch, Michal Gumiela, Jennifer Protich, Katherine Borda, Dhivya Jayaraman, Renata Dividino, Jakub Nalepa
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Remote Sensing, MDPI, 2021
Analysis of Methods for CubeSat Mission Design Based on in-orbit Results of KRAKsat Mission
Alicja Musiał, Dominik Markowski, Jan Życzkowski, Krzysztof A. Cyran
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International Journal of Education and Information Technologies, Vol. 15, 2021, pp. 295-302
Predicting risk of satellite collisions using machine learning
Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Daniel Kostrzewa, Jakub Nalepa:
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Journal of Space Safety Engineering, 2021
ELSA: Euler-Lagrange Skeletal Animations - Novel and Fast Motion Model Applicable to VR/AR Devices
Kamil Wereszczyński, Agnieszka Michalczuk, Paweł Foszner, Dominik Golba, Michał Cogiel, Michał Staniszewski
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Proceedings of International Conference on Computational Science 2021, Lecture Notes in Computer Science, Vol. 12746, pp. 120-133, Springer, 2021
Antelope: Towards on-board anomaly detection in telemetry data using deep learning
Jakub Nalepa, Michal Myller, Pawel Benecki, Jacek Andrzejewski, Daniel Kostrzewa
European Workshop on On-Board Data Processing (OBDP2021)
System-level hardening techniques used in the COTS-based data processing unit
Piotr Kuligowski, Grzegorz Gajoch, Maciej Nowak, Wojciech Sładek
European Workshop on On-Board Data Processing (OBDP2021)
Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs
Pawel Benecki, Szymon Piechaczek, Daniel Kostrzewa, Jakub Nalepa
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GECCO Companion 2021: 143-144, ACM, 2021
Segmentation of hyperspectral images using self-organizing maps
Pawel Sanocki, Michal Kawulok, Bogdan Smolka, Jakub Nalepa
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
Selecting Features from Time Series Using Attention-Based Recurrent Neural Networks
Michal Myller, Michal Kawulok, Jakub Nalepa
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Lecture Notes in Computer Science book series (LNCS, volume 12644)
Multiple-Image Super-Resolution Using Deep Learning and Statistical Features
Jakub Nalepa, Krzysztof Hrynczenko, Michal Kawulok
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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
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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
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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.
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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

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