Zobrazeno 1 - 10
of 353
pro vyhledávání: '"DAIYIN ZHU"'
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
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15288-15300 (2024)
In forward-looking imaging (FLI) of airborne radar, the enhancement of cross-range resolution is always a major research area and many studies on superresolution (SR) approaches, relied on the real array or virtual array, are proposed to break throug
Externí odkaz:
https://doaj.org/article/1b0c93544fd5420aaa1d82d99bcfa7be
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
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7422-7435 (2024)
Space situation awareness (SSA) has gained much more attention in the last decades due to the increasing number of spacecraft in space, which provides powerful space surveillance, and hence, ensures the safe flight of spacecraft. Inverse synthetic ap
Externí odkaz:
https://doaj.org/article/19f00f5f33ec417b93d2fb15294b2f7b
Autor:
Peng Wang, Yongkang Chen, Yi Yang, Ping Chen, Gong Zhang, Daiyin Zhu, Yongshi Jie, Cheng Jiang, Henry Leung
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2815-2827 (2024)
Compared with large-scale ships, small-scale ships occupy few pixels and have low contrast, so it poses a great challenge to detect multiscale ships in synthetic aperture radar (SAR) images. In order to improve the accuracy of multiscale ship detecti
Externí odkaz:
https://doaj.org/article/91654a6df0df476e91bae98bf6a29380
Autor:
Peng Zhou, Peng Wang, Jie Cao, Daiyin Zhu, Qiyuan Yin, Jiming Lv, Ping Chen, Yongshi Jie, Cheng Jiang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 190-205 (2024)
With the rapid development of deep learning, convolutional neural networks have achieved milestones in synthetic aperture radar (SAR) image object detection. However, object detection in SAR images is still a great challenge due to the difficulty in
Externí odkaz:
https://doaj.org/article/d9fa519b0d7e430a908ebe7f1c0e2114
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3739 (2024)
In this paper, an end-to-end system framework is proposed for the Digital Twin study of spaceborne ATI-SAR ocean current velocity inversion. Within this framework, a fitting inversion approach is proposed to enhance the conventional spaceborne ATI-SA
Externí odkaz:
https://doaj.org/article/246d56eaa2d44dcea4e35aa6fcfd4c06
Publikováno v:
Electronics Letters, Vol 60, Iss 11, Pp n/a-n/a (2024)
Abstract Pooling operations, essential for neural networks, reduce feature map dimensions while preserving key features and enhancing spatial invariance. Traditional pooling methods often miss the feature maps' alternating currentcomponents. This stu
Externí odkaz:
https://doaj.org/article/a1b37b26c7f54e48a24959c38d64ee3e
Publikováno v:
Leida xuebao, Vol 12, Iss 6, Pp 1166-1178 (2023)
The direction of arrival estimation algorithm can overcome the Rayleigh limit, effectively separate multiple targets within the main lobe, and improve the azimuth resolution when applied to forward-looking imaging in airborne multi-channel radar. How
Externí odkaz:
https://doaj.org/article/31b5b03359c74528b40c0e133d61d307
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