Zobrazeno 1 - 10
of 15 331
pro vyhledávání: '"ground moving"'
Autor:
Liu, Hui1 (AUTHOR) yanhe@nuaa.edu.cn, Yan, He1 (AUTHOR), Hao, Jialin1 (AUTHOR), Xu, Wenshuo1 (AUTHOR), Min, Zhou1 (AUTHOR), Zhu, Daiyin1 (AUTHOR)
Publikováno v:
Remote Sensing. Aug2024, Vol. 16 Issue 15, p2863. 22p.
Akademický článek
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Autor:
Zhang, Xin1,2 (AUTHOR), Zhu, Haoyu1,2 (AUTHOR), Liu, Ruixin1,2 (AUTHOR), Wan, Jun1,2 (AUTHOR) wanjun@cqu.edu.cn, Chen, Zhanye3,4 (AUTHOR)
Publikováno v:
Remote Sensing. Jun2024, Vol. 16 Issue 11, p2039. 24p.
Publikováno v:
Leida xuebao, Vol 12, Iss 6, Pp 1179-1201 (2023)
Airborne Wide angle staring Synthetic Aperture Radar (WasSAR) is a novel SAR imaging technique that enables multiangle and long-time staring imaging of an observation region. The combination of WasSAR and Ground Moving Target Indication (GMTI) facili
Externí odkaz:
https://doaj.org/article/fc4e1e894093446e98013a740e4ed738
Autor:
Ding, Chang1 (AUTHOR) dingchang@alu.hit.edu.cn, Mu, Huilin2 (AUTHOR) muhuilin@alu.hit.edu.cn, Zhang, Yun3 (AUTHOR) zhangyunhit@hit.edu.cn
Publikováno v:
Remote Sensing. Feb2024, Vol. 16 Issue 4, p605. 20p.
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 9, Pp 1431-1443 (2024)
Abstract A high precision estimation algorithm for ground moving targets in multi‐channel wide‐area surveillance ground moving target indication systems is proposed based on maximum likelihood method. The main concept of this novel algorithm is t
Externí odkaz:
https://doaj.org/article/38ade6f9debe42d9b72643599d3fbf7c
Autor:
He Yan, Hui Liu, Jialin Hao, Wenshuo Xu, Jingdong Zhang, Di Wu, Xudong Wang, Gong Zhang, Daiyin Zhu
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13000-13015 (2024)
Combined with the synthetic aperture radar (SAR) imaging algorithm, diverse simulation sample sets of ground moving targets are constructed to tackle the problem of insufficient measured data in the SAR ground moving target indication algorithm based
Externí odkaz:
https://doaj.org/article/ecbcf0f3685245cebab7a525531e62a9
Akademický článek
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Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2863 (2024)
In recent years, the detection performance of SAR-GMTI (synthetic aperture radar-ground moving target indication) algorithm based on deep learning has always been limited by insufficient measured data due to the heavy operation complexity and high co
Externí odkaz:
https://doaj.org/article/1ff55c456b2446d2af09870bd0e62b54