Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Armin Halicki"'
Publikováno v:
Sensors, Vol 23, Iss 11, p 5331 (2023)
Autonomous technologies are increasingly used in various areas of science. The use of unmanned vehicles for hydrographic surveys in shallow coastal areas requires accurate estimation of shoreline position. This is a nontrivial task, which can be perf
Externí odkaz:
https://doaj.org/article/1eff34296aab4cf9abcd26597cf52401
Autor:
Oktawia Lewicka, Mariusz Specht, Andrzej Stateczny, Cezary Specht, Gino Dardanelli, David Brčić, Bartosz Szostak, Armin Halicki, Marcin Stateczny, Szymon Widźgowski
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 4075 (2022)
Changes in the seafloor relief are particularly noticeable in shallow waterbodies (at depths up to several metres), where they are of significance for human safety and environmental protection, as well as for which the highest measurement accuracy is
Externí odkaz:
https://doaj.org/article/9006230fce7e4165aca193104005a2ae
Autor:
Oktawia Lewicka, Mariusz Specht, Andrzej Stateczny, Cezary Specht, Czesław Dyrcz, Paweł Dąbrowski, Bartosz Szostak, Armin Halicki, Marcin Stateczny, Szymon Widźgowski
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3525 (2022)
Measurements in the coastal zone are carried out using various methods, including Global Navigation Satellite Systems (GNSS), hydroacoustic and optoelectronic methods. Therefore, it is necessary to develop coordinate transformation models that will e
Externí odkaz:
https://doaj.org/article/156ae6d83ac743c38982c27bf8b07d37
Autor:
Mariusz Specht, Marta Wiśniewska, Andrzej Stateczny, Cezary Specht, Bartosz Szostak, Oktawia Lewicka, Marcin Stateczny, Szymon Widźgowski, Armin Halicki
Publikováno v:
Sensors, Vol 22, Iss 5, p 1844 (2022)
Hydrographic surveys enable the acquisition and processing of bathymetric data, which after being plotted onto nautical charts, can help to ensure safety of navigation, monitor changes in the coastal zone, and assess hydro-engineering structure condi
Externí odkaz:
https://doaj.org/article/1eb34b81ae514282936d24da93842d54
Autor:
Stateczny, Andrzej1 (AUTHOR) andrzej.stateczny@pg.edu.pl, Halicki, Armin2 (AUTHOR) a.halicki@marinetechnology.pl, Specht, Mariusz2,3 (AUTHOR) m.specht@wn.umg.edu.pl, Specht, Cezary4 (AUTHOR) c.specht@wn.umg.edu.pl, Lewicka, Oktawia4 (AUTHOR) o.lewicka@wn.umg.edu.pl
Publikováno v:
Sensors (14248220). Jun2023, Vol. 23 Issue 11, p5331. 21p.
Autor:
Lewicka, Oktawia1 (AUTHOR), Specht, Mariusz2 (AUTHOR) m.specht@marinetechnology.pl, Stateczny, Andrzej3 (AUTHOR), Specht, Cezary1 (AUTHOR), Dardanelli, Gino4 (AUTHOR), Brčić, David5 (AUTHOR), Szostak, Bartosz3 (AUTHOR), Halicki, Armin2 (AUTHOR), Stateczny, Marcin2 (AUTHOR), Widźgowski, Szymon2 (AUTHOR)
Publikováno v:
Remote Sensing. Aug2022, Vol. 14 Issue 16, p4075-4075. 23p.
Autor:
Lewicka, Oktawia1 (AUTHOR) o.lewicka@wn.umg.edu.pl, Specht, Mariusz2 (AUTHOR) a.halicki@marinetechnology.pl, Stateczny, Andrzej3 (AUTHOR) andrzej.stateczny@pg.edu.pl, Specht, Cezary1 (AUTHOR) c.specht@wn.umg.edu.pl, Dyrcz, Czesław4 (AUTHOR) c.dyrcz@amw.gdynia.pl, Dąbrowski, Paweł1 (AUTHOR) p.dabrowski@wn.umg.edu.pl, Szostak, Bartosz3 (AUTHOR) b.szostak@marinetechnology.pl, Halicki, Armin2 (AUTHOR) m.stateczny@marinetechnology.pl, Stateczny, Marcin2 (AUTHOR) s.widzgowski@marinetechnology.pl, Widźgowski, Szymon2 (AUTHOR)
Publikováno v:
Remote Sensing. Aug2022, Vol. 14 Issue 15, p3525-3525. 23p.
Autor:
Zgrundo, Aleksandra, Złoch, Ilona
Publikováno v:
Water (20734441); Jul2022, Vol. 14 Issue 14, pN.PAG-N.PAG, 12p
Autor:
Specht, Mariusz1 (AUTHOR) m.specht@marinetechnology.pl, Wiśniewska, Marta1 (AUTHOR) m.wisniewska@marinetechnology.pl, Stateczny, Andrzej2 (AUTHOR) andrzej.stateczny@pg.edu.pl, Specht, Cezary3 (AUTHOR) c.specht@wn.umg.edu.pl, Szostak, Bartosz2 (AUTHOR), Lewicka, Oktawia3 (AUTHOR) o.lewicka@wn.umg.edu.pl, Stateczny, Marcin1 (AUTHOR) m.stateczny@marinetechnology.pl, Widźgowski, Szymon1 (AUTHOR) s.widzgowski@marinetechnology.pl, Halicki, Armin1 (AUTHOR) a.halicki@marinetechnology.pl
Publikováno v:
Sensors (14248220). Mar2022, Vol. 22 Issue 5, pN.PAG-N.PAG. 1p.
Point clouds from LiDAR and photogrammetry are vital and vast sources of geospatial information besides remote sensing imagery. This book provides the latest theory and methodology for point cloud processing with AI to better serve earth observation,
