Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Lukasz Tulczyjew"'
Publikováno v:
IEEE Access, Vol 8, Pp 42384-42403 (2020)
Hyperspectral imaging has become a mature technology which brings exciting possibilities in various domains, including satellite image analysis. However, the high dimensionality and volume of such imagery is a serious problem which needs to be faced
Externí odkaz:
https://doaj.org/article/40cb861e094541fb81e44ece01f5bfe7
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4133 (2021)
Hyperspectral images capture very detailed information about scanned objects and, hence, can be used to uncover various characteristics of the materials present in the analyzed scene. However, such image data are difficult to transfer due to their la
Externí odkaz:
https://doaj.org/article/2ef62cfebb514bc28220b9c3162ccd12
Autor:
Jakub Nalepa, Michal Myller, Marcin Cwiek, Lukasz Zak, Tomasz Lakota, Lukasz Tulczyjew, Michal Kawulok
Publikováno v:
Remote Sensing, Vol 13, Iss 8, p 1532 (2021)
Although hyperspectral images capture very detailed information about the scanned objects, their efficient analysis, transfer, and storage are still important practical challenges due to their large volume. Classifying and segmenting such imagery are
Externí odkaz:
https://doaj.org/article/105a8d211f3a49c2b4ca348d98ec2e4e
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 18:2142-2146
Although deep learning is gaining more widespread use in hyperspectral image analysis, it is challenging to train high-capacity models in a supervised way--ground-truth sets are expensive to obtain, and they are practically always extremely imbalance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7eb6b10d51cb50caae22908a3e858a8e
https://doi.org/10.1109/lgrs.2020.3013205
https://doi.org/10.1109/lgrs.2020.3013205
Publikováno v:
Journal of Space Safety Engineering. 8:339-344
Active collision avoidance has become an important task in space operations nowadays, and hundreds of alerts corresponding to close encounters of a satellite and other space objects are typically issued for a satellite in Low Earth Orbit every week.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cb934d87de63c696fc9a59862acb7f4
https://doi.org/10.1016/j.jsse.2021.09.001
https://doi.org/10.1016/j.jsse.2021.09.001
Autor:
Jakub Nalepa, Bertrand Le Saux, Nicolas Longepe, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Krzysztof Smykala, Michal Gumiela
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b572b973fdc43e9e41098c212f1cbe2
https://doi.org/10.1109/icip46576.2022.9897443
https://doi.org/10.1109/icip46576.2022.9897443
Maintaining farm sustainability through optimizing the agricultural management practices helps build more planet-friendly environment. The emerging satellite missions can acquire multi- and hyperspectral imagery which captures more detailed spectral
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aee4f8539dce3226660b427a11f0d11
http://arxiv.org/abs/2208.02349
http://arxiv.org/abs/2208.02349
Autor:
Tomasz Tarasiewicz, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Nicolas Longepe, Jakub Nalepa
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6766a6edfa0d91f8e0a14b15422fec6c
https://doi.org/10.1109/igarss46834.2022.9883919
https://doi.org/10.1109/igarss46834.2022.9883919
Autor:
Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Wojciech Ryczko, Michal Kawulok, Jakub Nalepa
Publikováno v:
Computational Science – ICCS 2022 ISBN: 9783031087530
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a19a5ba49b10883bebbe9b0a7c5a225c
https://doi.org/10.1007/978-3-031-08754-7_11
https://doi.org/10.1007/978-3-031-08754-7_11
Hyperspectral unmixing remains one of the most challenging tasks in the analysis of such data. Deep learning has been blooming in the field and proved to outperform other classic unmixing techniques, and can be effectively deployed onboard Earth obse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ab1c25956c1e664cd32b7c7fa2278eb