Uncertainty-weighted spectral similarity for hyperspectral imaging spectroscopy
Katarzyna Jabłońska, Marcin P Jakubowicz, Dariusz Tanajewski
IEEE 2026
2026
Profil
Katarzyna Jabłońska
Doktorant
Grupy badawcze
Wykształcenie
2020
inżynier informatyki, Wydział Podstawowych Problemów Techniki
Politechnika Wrocławska
2021
magister informatyki, specjalność Data Science, Wydział Informatyki i Zarządzania
Politechnika Wrocławska
Publikacje(9)
Mind the gap: quantifying the domain gap in cross-sensor diffusion super-resolution
Dawid A. Kopeć, Katarzyna Jabłońska, Wojciech M Kozłowski, Maciej M Zięba
Cham : Springer Nature Switzerland AG, cop. 2026. s. 504-518.
2026
Metric learning approach to mineral mapping using multi-sensor satellite data
Katarzyna Jabłońska, Maciej M Zięba
Cham : Springer Nature Switzerland AG, cop. 2026. s. 19–32.
2026
Metric learning networks for accurate mineral detection with different augmentation techniques
Katarzyna Jabłońska, Maciej M Zięba, Dariusz Tanajewski
Expert Systems with Applications
2026
Satellite data based one-class classifier models with augmentation for efficient mineral exploration
Katarzyna Jabłońska, Maciej M Zięba, Marcin P Jakubowicz
Singapore : Springer Nature Singapore, cop. 2025. s. 98-112.
2025
MineCam: application of combined remote sensing and machine learning for segmentation and change detection of mining areas enabling multi-purpose monitoring
Katarzyna Jabłońska, Wojciech Kaczan, Maciej M Zięba, Marcin Maksymowicz, Dariusz Tanajewski, Marek Wilgucki
Remote Sensing 2024 vol. 16, nr 6, art. 955, s. 1-23.
2024
A comparative analysis of Siamese Networks and Spectral Angle Mapper for mineral detection using hyperspectral imagery
Katarzyna Jabłońska, Maciej M Zięba
[Danvers, MA] : IEEE, cop. 2024. s. 9320-9323.
2024
Preliminary research on Hyperspectral Mineral Mapping as part of the HYPE4EXPLOR Project
Anna M. Buczyńska, Wojciech Kaczan, Katarzyna Jabłońska, Marcin Maksymowicz
W: Interdisciplinary topics in mining, geology and geomatics : XXIII Conference of PhD Students and Young Scientists : CPSYS : book of abstracts, Wrocław, June 13-15, 2023 / [ed. Jan Blachowski]. Wrocław : Wrocław University of Science and Technology Publishing House, (WUST Publishing House), 2023. s. 10-11.
2023
How to catch them all? Enhanced data collection for emotion recognition in the field
Maciej Dzieżyc, Joanna Komoszyńska, Stanisław Saganowski, Magda Boruch, Jakub Dziwiński, Katarzyna Jabłońska, Dominika Kunc, Przemysław Kazienko
2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
2021