Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Maciej Ziaja"'
Autor:
Michal Kawulok, Pawel Kowaleczko, Maciej Ziaja, Jakub Nalepa, Daniel Kostrzewa, Daniele Latini, Davide De Santis, Giorgia Salvucci, Ilaria Petracca, Valeria La Pegna, Zoltan Bartalis, Fabio Del Frate
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18949-18966 (2024)
The need for enhancing image spatial resolution has motivated the researchers to propose numerous super-resolution (SR) techniques, including those developed specifically for hyperspectral data. Despite significant advancements in this field attribut
Externí odkaz:
https://doaj.org/article/ee0f5d274a35448ba269f7145323d5bc
Autor:
Pawel Kowaleczko, Tomasz Tarasiewicz, Maciej Ziaja, Daniel Kostrzewa, Jakub Nalepa, Przemyslaw Rokita, Michal Kawulok
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-12 (2023)
Abstract Insufficient image spatial resolution is a serious limitation in many practical scenarios, especially when acquiring images at a finer scale is infeasible or brings higher costs. This is inherent to remote sensing, including Sentinel-2 satel
Externí odkaz:
https://doaj.org/article/118f486b9ea6454fae58cc8a8cf61fc5
Autor:
Maciej Ziaja, Piotr Bosowski, Michal Myller, Grzegorz Gajoch, Michal Gumiela, Jennifer Protich, Katherine Borda, Dhivya Jayaraman, Renata Dividino, Jakub Nalepa
Publikováno v:
Remote Sensing, Vol 13, Iss 19, p 3981 (2021)
Benchmarking deep learning algorithms before deploying them in hardware-constrained execution environments, such as imaging satellites, is pivotal in real-life applications. Although a thorough and consistent benchmarking procedure can allow us to es
Externí odkaz:
https://doaj.org/article/7352bc8b2ac9452ba72ea94d8ebc83ce
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Autor:
Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Marcin Cwiek, Tomasz Lakota, Nicolas Longepe, Jakub Nalepa
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Autor:
Michal Gumiela, Renata Dividino, Jennifer Protich, Maciej Ziaja, Grzegorz Gajoch, Piotr Bosowski, Katherine Borda, Michal Myller, Dhivya Jayaraman, Jakub Nalepa
Publikováno v:
Remote Sensing; Volume 13; Issue 19; Pages: 3981
Remote Sensing, Vol 13, Iss 3981, p 3981 (2021)
Remote Sensing, Vol 13, Iss 3981, p 3981 (2021)
Benchmarking deep learning algorithms before deploying them in hardware-constrained execution environments, such as imaging satellites, is pivotal in real-life applications. Although a thorough and consistent benchmarking procedure can allow us to es
Publikováno v:
IGARSS
Cloud detection is an important pre-processing step that allows us to significantly reduce the amount of satellite imagery which should undergo further processing. In this paper, we investigate the impact of training set selection on the abilities of