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    Wyświetlanie 1-3 z 3
    Tytuł:
    Estimation of Flight Path Deviations for SAR Radar Installed on UAV
    Autorzy:
    Łabowski, M.
    Kaniewski, P.
    Konatowski, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/221533.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Unmanned Aerial Vehicle
    Synthetic Aperture Radar
    inertial measurement unit
    Global Navigation Satellite System
    Opis:
    The paper presents a method of calculation of position deviations from a theoretical, nominally rectilinear trajectory for a SAR imaging system installed on board of UAV. The UAV on-board system consists of a radar sensor, an antenna system, a SAR processor and a navigation system. The main task of the navigation part is to determine the vector of differences between the theoretical and the measured trajectories of UAV center of gravity. The paper includes chosen results of experiments obtained during ground and flight tests.
    Źródło:
    Metrology and Measurement Systems; 2016, 23, 3; 383-391
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Monitoring of displacements and deformations of the earth’s surface near the Stebnyk city using radar images of Sentinel-1
    Autorzy:
    Trevoho, Ihor
    Chetverikov, Borys
    Babiy, Lubov
    Malanchuk, Mariia
    Powiązania:
    https://bibliotekanauki.pl/articles/145388.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    interferometria radarowa
    radar
    deformacja powierzchni
    radar interferometry
    Synthetic Aperture Radar
    Sentinel-1
    deformations of the Earth’s surface
    Opis:
    This article applies radar interferometry technologies implemented in the ENVI SARscape and SNAP software environment provided by the processing of data from the Sentinel-1 satellite. The study was carried out based on six radar images of Sentinel-1A and Sentinel -1B taken from September 2017 until February 2018 with an interval of one month and on the radar-module of the already mentioned SNAP software. The main input data for solving the considered problem are radar images received from the satellite Sentinel-1B on the territory of Stebnyk-Truskavets for six months with an interval of one month. Monitoring of the Earth’s surface using radar data of the Sentinel-1A with a synthesized aperture is implemented with the application of interferometric methods of Persistent Scatterers and Small baselines interferometry for estimating small displacements of the Earth’s surface and structures. The obtained quantitative and qualitative indicators of monitoring do not answer the processes that take place and lead to vertical displacements the six months but do provide an opportunity to assess the extent and trends of their development. The specification in each case can be accomplished by ground methods, which greatly simplify the search for sites with critical parameters of vertical displacements which can have negative consequences and lead to an emergency.
    Źródło:
    Geodesy and Cartography; 2020, 69, 1; 85-96
    2080-6736
    2300-2581
    Pojawia się w:
    Geodesy and Cartography
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Estimation of UAV Position with Use of Smoothing Algorithms
    Autorzy:
    Kaniewski, P.
    Gil, R.
    Konatowski, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/221380.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Unmanned Aerial Vehicle
    Inertial Navigation System
    Global Navigation Satellite System
    Integrated Navigation System
    Synthetic Aperture Radar
    Kalman Filter
    smoothing algorithm
    Opis:
    The paper presents methods of on-line and off-line estimation of UAV position on the basis of measurements from its integrated navigation system. The navigation system installed on board UAV contains an INS and a GNSS receiver. The UAV position, as well as its velocity and orientation are estimated with the use of smoothing algorithms. For off-line estimation, a fixed-interval smoothing algorithm has been applied. On-line estimation has been accomplished with the use of a fixed-lag smoothing algorithm. The paper includes chosen results of simulations demonstrating improvements of accuracy of UAV position estimation with the use of smoothing algorithms in comparison with the use of a Kalman filter.
    Źródło:
    Metrology and Measurement Systems; 2017, 24, 1; 127-142
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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