Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Zengyan Wu"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 7507-7517 (2023)
At present, many deep-convolution-based remote sensing image target detection methods have been developed and have achieved higher detection accuracy and faster detection rate. However, they do not perform well in the face of datasets with large targ
Externí odkaz:
https://doaj.org/article/8b31ab45dcd4423db73127f3116d9378
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 2805-2815 (2022)
In the past few years, aircraft detection in remote sensing (RS) images has been an important research hotspot, and it is very crucial in plenty of military applications. Based on the high computational cost of the model and numerous parameters, deep
Externí odkaz:
https://doaj.org/article/9310ded646c04da28af9dc9bc120aab5
Autor:
Xiangkai Xu, Zhejun Feng, Changqing Cao, Chaoran Yu, Mengyuan Li, Zengyan Wu, Shubing Ye, Yajie Shang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 8734-8743 (2022)
The gradual development of remote sensing object tracking technology based on unmanned aerial vehicles (UAV) videos has become one of the main research directions in the field of visual tracking. However, due to characteristics of the UAV platform, t
Externí odkaz:
https://doaj.org/article/5a45be4dc8f741769e1b79cfc25bf407
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3551 (2023)
The You Only Look Once (YOLO) series has been widely adopted across various domains. With the increasing prevalence of continuous satellite observation, the resulting video streams can be subjected to intelligent analysis for various applications, su
Externí odkaz:
https://doaj.org/article/f258ad15fa8f45d3bb8137dfb22ae67d
Autor:
Jiawei Yong, Kexin Li, Zhejun Feng, Zengyan Wu, Shubing Ye, Baoming Song, Runxi Wei, Changqing Cao
Publikováno v:
Remote Sensing, Vol 15, Iss 9, p 2478 (2023)
Achieving high-resolution remote sensing images is an important goal in the field of space exploration. However, the quality of remote sensing images is low after the use of traditional compressed sensing with the orthogonal matching pursuit (OMP) al
Externí odkaz:
https://doaj.org/article/c100fa3abbc44d0496e7b49736907ae6
Publikováno v:
Photonics, Vol 10, Iss 4, p 477 (2023)
This study explored the impact of atmospheric turbulence on partially coherent light propagation. Atmospheric turbulence causes random modulation of the intensity and phase of light, resulting in a speckle pattern in the far field. This study focused
Externí odkaz:
https://doaj.org/article/dc170b6327de4051ad99003fb66f2725
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract For large-scale integrated electronic equipment, the complex operating mechanisms make fault detection very difficult. Therefore, it is important to accurately identify analog circuit faults in a timely manner. To overcome this problem, this
Externí odkaz:
https://doaj.org/article/4e79eb9c81fb4c2db031d314a3bc1c38
Publikováno v:
IEEE Photonics Journal, Vol 13, Iss 5, Pp 1-7 (2021)
The charge-coupled device-based Shaker–Hartmann wavefront sensor has been widely used to compensate for wavefront distortion in coherent optical communication. However, the influence of strong background light causes large errors when restoring the
Externí odkaz:
https://doaj.org/article/953f14ff4bb04cab873684e8ede42678
Autor:
Zengyan Wu, Changqing Cao, Xiaodong Zeng, Zhejun Feng, Jingshi Shen, Xu Yan, Bo Wang, Xiyuan Su
Publikováno v:
IEEE Photonics Journal, Vol 12, Iss 6, Pp 1-13 (2020)
A filterless radio-over-fiber system to generate 40 and 80 GHz millimeter-wave was proposed by using two Mach-Zehnder modulators (MZMs). The two MZMs are biased at the maximum transmission point to suppress odd-order sidebands. By adjusting the modul
Externí odkaz:
https://doaj.org/article/56e946108e504e4d809a6f7d86c783a7
Autor:
Changqing Cao, Bo Wang, Wenrui Zhang, Xiaodong Zeng, Xu Yan, Zhejun Feng, Yutao Liu, Zengyan Wu
Publikováno v:
IEEE Access, Vol 7, Pp 106838-106846 (2019)
With the increase of training data and the improvement of machine performance, the object detection method based on convolutional neural network (CNN) has become the mainstream algorithm in field of the current object detection. However, due to the c
Externí odkaz:
https://doaj.org/article/6f030c0adb2f459c970defc47858cf6b