Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Bartosz Grabowski"'
Autor:
Artur Miroszewski, Jakub Mielczarek, Grzegorz Czelusta, Filip Szczepanek, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 7601-7613 (2023)
Support vector machines (SVMs) are well-established classifiers that are effectively deployed in an array of classification tasks. In this article, we consider extending classical SVMs with quantum kernels and applying them to satellite data analysis
Externí odkaz:
https://doaj.org/article/c508406b0fbb47e9a98d99cb262d7619
Publikováno v:
Sensors, Vol 20, Iss 22, p 6666 (2020)
In recent years, growing interest in deep learning neural networks has raised a question on how they can be used for effective processing of high-dimensional datasets produced by hyperspectral imaging (HSI). HSI, traditionally viewed as being within
Externí odkaz:
https://doaj.org/article/6c80a8f5fd434951ae55bcf20d530ba7
Publikováno v:
Remote Sensing, Vol 12, Iss 16, p 2653 (2020)
Hyperspectral imaging is a rich source of data, allowing for a multitude of effective applications. However, such imaging remains challenging because of large data dimension and, typically, a small pool of available training examples. While deep lear
Externí odkaz:
https://doaj.org/article/a696aef441d14c8db8182a4281c113b3
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:
Kamil Książek, Przemysław Głomb, Michał Romaszewski, Michał Cholewa, Bartosz Grabowski, Krisztián Búza
Publikováno v:
Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064265
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::989c0be5906cf56c142c3df779f4f6c1
https://doi.org/10.1007/978-3-031-06427-2_33
https://doi.org/10.1007/978-3-031-06427-2_33
Autor:
Kamil Książek, Przemysław Głomb, Michał Romaszewski, Michał Cholewa, Bartosz Grabowski, Krisztián Búza
Publikováno v:
Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064265
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00ecaffec2ed583bc61a9b701583dd78
https://doi.org/10.1007/978-3-031-06427-2_66
https://doi.org/10.1007/978-3-031-06427-2_66
Publikováno v:
Recent Challenges in Intelligent Information and Database Systems ISBN: 9789811982330
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b91534a3672eb8aea9ad393d0118ccd
https://doi.org/10.1007/978-981-19-8234-7_9
https://doi.org/10.1007/978-981-19-8234-7_9
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
Publikováno v:
Sensors
Volume 20
Issue 22
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 6666, p 6666 (2020)
Volume 20
Issue 22
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 6666, p 6666 (2020)
In recent years, growing interest in deep learning neural networks has raised a question on how they can be used for effective processing of high-dimensional datasets produced by hyperspectral imaging (HSI). HSI, traditionally viewed as being within
Publikováno v:
Journal of Cultural Heritage. 31:1-12
Art objects conservation or historical analysis necessitates a thorough knowledge of materials used by the artist and their subsequent changes. In the case of paintings this requires the ability to correctly identify the pigments that were used for c