Zobrazeno 1 - 10
of 34 055
pro vyhledávání: '"radar imaging"'
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 10, Pp 1937-1951 (2024)
Abstract Rotor unmanned aerial vehicles (UAVs) play an important role in both military and civilian fields nowadays. The safety risks associated with the UAVs increase the urgent need for detecting UAVs in urban environments as well. Moreover, UAVs a
Externí odkaz:
https://doaj.org/article/da640366d6df4353a181758e41d836eb
Autor:
Junting Yang, Yong Wang
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 10, Pp 1691-1709 (2024)
Abstract The interferometric inverse synthetic aperture radar (InISAR) system realises the interferometric processing on the imaging results obtained from three radars on a set of orthogonal baselines and can get the three‐dimensional (3D) imaging
Externí odkaz:
https://doaj.org/article/b1ada318f673452fbad54be9638f6624
Autor:
Sijia Liu, Minghai Pan
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 10, Pp 1615-1624 (2024)
Abstract Aiming at the problem that the azimuth echoes of forward‐looking scanning imaging are aliased and the angular information of different targets cannot be directly separated, resulting in low azimuth resolution, the authors propose a scannin
Externí odkaz:
https://doaj.org/article/e12cce9dd0844f33bd18264d60d1bc25
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 7, Pp 1068-1079 (2024)
Abstract Noise impairs the performance of inverse synthetic aperture radar (ISAR) motion compensation, which induces severe defocusing under low signal‐to‐noise ratio environments. To overcome this issue, a novel similarity‐oriented (SO) method
Externí odkaz:
https://doaj.org/article/20229600995f4ecfa6746022fd8ec0cc
Autor:
Lannuo Yin, Yong Wang
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 7, Pp 1145-1160 (2024)
Abstract Forward‐looking radar imaging is a top priority due to a variety of applications. An airborne forward‐looking radar imaging approach via a modified propagator method (MPM) based on the planar phased array is proposed. It can obtain a bet
Externí odkaz:
https://doaj.org/article/eea848c1c9a34a48836c85131e3a6a33
Publikováno v:
Electronics Letters, Vol 60, Iss 21, Pp n/a-n/a (2024)
Abstract Characterizing soil moisture around drip irrigation pipes is crucial for precise and optimized farming. Machine learning (ML) approaches are particularly suitable for this task as they can reduce uncertainties caused by soil conditions and t
Externí odkaz:
https://doaj.org/article/c05105daa9844baeba5a5803414493e4
Publikováno v:
IET Image Processing, Vol 18, Iss 6, Pp 1540-1549 (2024)
Abstract The synthesis of rain fields is essential in multiple research fields and applications, including Single‐image Derain. However, there is a lack of research on simulated rain fields, and the existing rain field generation models struggle to
Externí odkaz:
https://doaj.org/article/77e38197f40847d9bd8fc885ec2543ae
Publikováno v:
Leida xuebao, Vol 13, Iss 2, Pp 285-306 (2024)
With the rapid development of high-resolution radar imaging technology, artificial intelligence, and big data technology, remarkable advancements have been made in the intelligent interpretation of radar imagery. Despite growing demands, radar image
Externí odkaz:
https://doaj.org/article/3827923ad7894c02a9e6494840594d02