Zobrazeno 1 - 10
of 992
pro vyhledávání: '"Marine radar"'
Publikováno v:
Leida xuebao, Vol 13, Iss 6, Pp 1252-1278 (2024)
Distinguishing between ships and corner reflectors is challenging in radar observations of the sea. Traditional identification methods, including high resolution range profiles, polarization decomposition, and polarization modulation, improve radial
Externí odkaz:
https://doaj.org/article/00c953a855394aac93610ea24d83f300
Akademický článek
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Autor:
Vadim Rezvov, Mikhail Krinitskiy, Alexander Gavrikov, Viktor Golikov, Mikhail Borisov, Alexander Suslov, Natalia Tilinina
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
X-band marine radar captures the signal reflected from the sea surface. Theoretical studies indicate that the initial unfiltered signal contains meaningful information about wind wave parameters. Traditional methods of significant wave height (SWH) e
Externí odkaz:
https://doaj.org/article/9d5cd4da13054b64bb6b1fd82c0de3dd
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 2, Pp 344-360 (2024)
Abstract The authors present multiple machine learning‐based methods for distinguishing maritime targets from sea clutter. The main goal for this classification framework is to aid future millimetre wave radar system design for marine autonomy. Ava
Externí odkaz:
https://doaj.org/article/6d688a2612a242cfb66b3c295136fc1a
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13506-13522 (2024)
The performance of marine radar target detection is largely affected by the intricate and dynamic space–time variations of sea clutter signals, which cause substantial numbers of false and missed alarms. To improve the target detection performance
Externí odkaz:
https://doaj.org/article/6d5c8c7bb2fd43fb8cb610b8b4c9a001
Autor:
Ludeno, Giovanni1 ludeno.g@irea.cnr.it, Raffa, Francesco2 francesco.raffa@igg.cnr.it, Soldovieri, Francesco1, Serafino, Francesco3 francesco.serafino@cnr.it
Publikováno v:
Remote Sensing. Mar2018, Vol. 10 Issue 3, p459. 16p.
Publikováno v:
Remote Sensing, Vol 16, Iss 22, p 4140 (2024)
This paper presents an improved algorithm for retrieving ocean surface currents from X-band marine radar images. The original polar current shell (PCS) method begins with a 3D fast Fourier transform (FFT) of the radar image sequence, followed by the
Externí odkaz:
https://doaj.org/article/ce9bc9c9299f4569bd9f0b9978cf973d
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3691 (2024)
The performance of marine radar constant false alarm rate (CFAR) detection method is significantly influenced by the modeling of sea clutter distribution and detector decision rules. The false alarm rate and detection rate are therefore unstable. In
Externí odkaz:
https://doaj.org/article/81eba39a53eb433c96dd63915e56de75
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 9, p 1609 (2024)
In the context of sea state monitoring, reconstructing the wave field and estimating the sea state parameters from radar data is a challenging problem. To reach this goal, this paper proposes a fully data-driven, deep learning approach based on a con
Externí odkaz:
https://doaj.org/article/07e43c9bd85349b0a604f0fb2897887d
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 8, p 1316 (2024)
In scenarios such as nearshore and inland waterways, the ship spots in a marine radar are easily confused with reefs and shorelines, leading to difficulties in ship identification. In such settings, the conventional ARPA method based on fractal detec
Externí odkaz:
https://doaj.org/article/66ec4e01e35e41d18c05a6491e312716