Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Meihua Niu"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 620-631 (2020)
Scanning radar can be used to obtain images of targets in forward-looking area, and has attracted much attention in many fields, such as ocean monitoring, air-to-ground attack, navigation, and so on. However, its azimuth resolution is extremely poor
Externí odkaz:
https://doaj.org/article/e89aacf1eac44c11b1963a553f49c1b4
Publikováno v:
2022 IEEE 5th International Conference on Electronics Technology (ICET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8a2cbc07a6ba27bb73f98e9069a6182
https://doi.org/10.1109/icet55676.2022.9824555
https://doi.org/10.1109/icet55676.2022.9824555
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 620-631 (2020)
Scanning radar can be used to obtain images of targets in forward-looking area, and has attracted much attention in many fields, such as ocean monitoring, air-to-ground attack, navigation, and so on. However, its azimuth resolution is extremely poor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7bb97f9ebd52498ea763a5f3c46fe1f
https://doi.org/10.1109/jstars.2020.2964589
https://doi.org/10.1109/jstars.2020.2964589
Publikováno v:
IGARSS
In this paper, an accelerated maximum a posteriori (AMAP) algorithm is proposed to realize fast and effective super resolution imaging of real beam scanning radar. The main idea of this algorithm is to construct a prediction vector based on the first
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c30ccb5afac3b2f6685d30b04d4d41eb
https://doi.org/10.1109/igarss.2019.8898837
https://doi.org/10.1109/igarss.2019.8898837
Publikováno v:
2019 IEEE Radar Conference (RadarConf).
Iterative shrinkage-thresholding algorithm (ISTA) is a simple and robust method to realize super-resolution of real-beam scanning radar. However, slow convergence is a drawback. This work proposes an accelerated iterative shrinkage-thresholding algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28f1ece5870c6c357c07a12b7d11aadb
https://doi.org/10.1109/radar.2019.8835586
https://doi.org/10.1109/radar.2019.8835586