Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Magdalena Pilarska-Mazurek"'
Autor:
Magdalena Pilarska-Mazurek, Krzysztof Bakuła, Jakub Górka, Paweł Czernic, Anna Lejzerowicz, Wojciech Ostrowski, Borys Chetverikov
Publikováno v:
Archives of Civil Engineering, Vol vol. 70, Iss No 3, Pp 619-634 (2024)
Data synergy involves acquiring and combining data from different sensors to achieve better problem analysis and research results. For more comprehensive data analysis, the sensors are not only mounted on one platform. Still, they should also be comp
Externí odkaz:
https://doaj.org/article/71aa5ffd958d426bb43340bffbe484b3
Autor:
Anna Lejzerowicz, Paweł Czernic, Magdalena Pilarska-Mazurek, Kamil Załęgowski, Jakub Górka, Krzysztof Bakuła
Publikováno v:
Archives of Civil Engineering, Vol vol. 70, Iss No 2, Pp 611-628 (2024)
Ground penetrating radar (GPR) is one of the most useful non-destructive techniques for locating underground objects. Advancements in this technology have facilitated the development of new sensors over the past decade. In this paper, an accuracy ass
Externí odkaz:
https://doaj.org/article/656f8777d16e4de3a1ee1f2a2a92bb79
Autor:
Kamil Choromanski, Joanna Kozakiewicz, Mateusz Sobucki, Magdalena Pilarska-Mazurek, Robert Olszewski
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 9963-9975 (2022)
The aim of the research was to analyze the possibilities of using deep learning methods for classifying multisource image data for Mars. It should be emphasized that the main goal of the research was to develop a methodology for integrating image dat
Externí odkaz:
https://doaj.org/article/9acd362084754b24b15870064bfed263
Autor:
Jakub Markiewicz, Sławomir Łapiński, Magdalena Pilarska-Mazurek, Dorota Zawieska, Volodymyr Levytskyi
Publikováno v:
Sensors and Machine Learning Applications. 1
The use of low-cost, unmanned aerial vehicles (UAVs) has been growing in many sectors. Due to the sufficient accuracy of the products acquired from UAVs, this technology has also been applied in geodesy and remote sensing. It results from many factor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04df8f8104a7446e84cb94b38cb7c9e9
https://doi.org/10.55627/smla.001.01.0009
https://doi.org/10.55627/smla.001.01.0009
Publikováno v:
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a89acace2faf12ba06ab965042c5754
https://doi.org/10.5593/sgem2018/2.3/s10.001
https://doi.org/10.5593/sgem2018/2.3/s10.001