Zobrazeno 1 - 10
of 1 629
pro vyhledávání: '"Inverse synthetic aperture radar (ISAR)"'
Autor:
Roman Mularzuk, Maciej Soszka, Piotr Szymański, Mariusz Zych, Michał Bartoszewski, Marcin Bączyk, Krzysztof Kulpa, Łukasz Maślikowski, Maciej Wielgo, Maria‐Pilar Jarabo‐Amores, Nerea Rey‐Maestre, David Mata‐Moya, Idar Norheim‐Næss
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 11, Pp 2144-2154 (2024)
Abstract Jammers aim to interfere with active radars during military operations. Still, they can strengthen our capabilities on the battlefield if there are proper methods to use them. This paper demonstrates the possibility of utilising a ground‐b
Externí odkaz:
https://doaj.org/article/443235028faa415a8656eacfb9a74ead
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 10, Pp 1767-1778 (2024)
Abstract Attributed scattering problems have been found to be helpful in inverse synthetic aperture radar (ISAR) imaging and target recognition problems. In this model, the scattering centres are divided into two categories: localised and distributed
Externí odkaz:
https://doaj.org/article/1061d4a5b4c44a45a732d03c98e7c115
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 11, Pp 2017-2019 (2024)
Externí odkaz:
https://doaj.org/article/4df4eabebb96477d9fc61fb9daf96d31
Publikováno v:
Leida xuebao, Vol 13, Iss 3, Pp 682-695 (2024)
Inverse Synthetic Aperture Radar (ISAR) images of spacecraft are composed of discrete scatterers that exhibit weak texture, high dynamics, and discontinuity. These characteristics result in sparse point clouds obtained using traditional algorithms fo
Externí odkaz:
https://doaj.org/article/379093a1d9bf4ad0a307366dca6e56e4
Publikováno v:
Journal of Electromagnetic Engineering and Science, Vol 24, Iss 3, Pp 215-225 (2024)
Inverse synthetic aperture radar (ISAR) image registration enables the analysis of target dynamics by comparing registered images from different viewpoints. However, it faces significant challenges due to various factors, such as the complex scatteri
Externí odkaz:
https://doaj.org/article/86a727953abe441d8e4e8ab594b23d5a
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 4, Pp 620-634 (2024)
Abstract This paper illustrates an interferometric inverse synthetic aperture radar based on three‐dimensional imaging and rotational velocity estimation from a multistatic setup with three ground‐based radars with non‐orthogonal baselines. The
Externí odkaz:
https://doaj.org/article/4643437136c64f78987875658b76fc71
Autor:
Alexander Serrano, Alexander Kobsa, Faruk Uysal, Delphine Cerutti‐Maori, Selenia Ghio, Andrew Kintz, Robert L. Morrison Jr., Sarah Welch, Philip vanDorp, Gregory Hogan, Simon Garrington, Cees Bassa, Chris Saunders, Marco Martorella, Miguel Caro Cuenca, Isaac Lowe
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 4, Pp 598-619 (2024)
Abstract Long baseline bistatic radar systems herald enhanced sensitivity and metric accuracy for space objects in geosynchronous orbits and beyond. Radio telescopes are ideal participants in such a system; in particular, they often feature large ape
Externí odkaz:
https://doaj.org/article/5adb8f7af6a5479d86ad5c1dff53539b
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 4, Pp 544-563 (2024)
Abstract In view of the increasing number of space objects, comprehensive high‐quality space surveillance becomes ever more important. Radar is a powerful tool that, in addition to detection and tracking of objects, also enables spatially high‐re
Externí odkaz:
https://doaj.org/article/98b03127c1014bd09e7f2ade5c574d77
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 4, Pp 649-656 (2024)
Abstract Space situational awareness systems primarily focus on detecting and tracking space objects, providing crucial positional data. However, understanding the complex space domain requires characterising satellites, often involving estimation of
Externí odkaz:
https://doaj.org/article/a75f5ff91e1e49dfb24728cf845e2e1a
Autor:
Amir Hosein Oveis, Giulio Meucci, Francesco Mancuso, Fabrizio Berizzi, Alessandro Cantelli-Forti
Publikováno v:
IEEE Access, Vol 12, Pp 173800-173809 (2024)
The state of the art in deepfake technology demonstrates rapid technological evolution. Machine learning algorithms are becoming increasingly talented at generating synthetic yet realistic media, raising ethical, social security, and political concer
Externí odkaz:
https://doaj.org/article/69d2f882f0dd449794c44da82fa74805