Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Yongpeng Dai"'
Publikováno v:
Leida xuebao, Vol 12, Iss 6, Pp 1138-1154 (2023)
Distinguishing multiple targets in the same resolution cell is an important and challenging task in the forward-looking imaging process of monopulse radar. Although Doppler processing can improve the recognition performance for multiple targets at hi
Externí odkaz:
https://doaj.org/article/4903ed494766440cb9dc2ccb919241a8
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1572 (2024)
Human pose estimation (HPE) is an integral component of numerous applications ranging from healthcare monitoring to human-computer interaction, traditionally relying on vision-based systems. These systems, however, face challenges such as privacy con
Externí odkaz:
https://doaj.org/article/eb7c49b5ac9a4594b725e4d2e7d51566
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1295 (2024)
In this paper, we propose an innovative approach for transforming 2D human pose estimation into 3D models using Single Input–Single Output (SISO) Ultra-Wideband (UWB) radar technology. This method addresses the significant challenge of reconstructi
Externí odkaz:
https://doaj.org/article/0d24c7a381f24e2ea54fbc78922f814c
Publikováno v:
Remote Sensing, Vol 15, Iss 21, p 5166 (2023)
Inverse synthetic aperture radar (ISAR) imaging can be improved by processing Range-Instantaneous Doppler (RID) images, according to a method proposed in this paper that uses neural networks. ISAR is a significant imaging technique for moving targets
Externí odkaz:
https://doaj.org/article/efa132c5f285496197e001e309c84da6
Publikováno v:
Leida xuebao, Vol 11, Iss 1, Pp 27-39 (2022)
A radar human behavior perception system has penetration detection ability, which gives it a wide application prospect in the fields of security, rescue, medical treatment, and so on. Although the development of deep learning technology has promoted
Externí odkaz:
https://doaj.org/article/5e56331db31c434ab2b8f0f30c520d57
Publikováno v:
Remote Sensing, Vol 13, Iss 23, p 4909 (2021)
Using a multiple-input-multiple-output (MIMO) radar for environment sensing is gaining more attention in unmanned ground vehicles (UGV). During the movement of the UGV, the position of MIMO array compared to the ideal imaging position will inevitably
Externí odkaz:
https://doaj.org/article/723e98d1318d4c518fc90bf2d3e71119
Publikováno v:
Remote Sensing, Vol 13, Iss 15, p 2905 (2021)
Radar-based non-contact vital signs monitoring has great value in through-wall detection applications. This paper presents the theoretical and experimental study of through-wall respiration and heartbeat pattern extraction from multiple subjects. To
Externí odkaz:
https://doaj.org/article/3d349dae7dd849ebb11fcde86423766e
Publikováno v:
The Journal of Engineering (2019)
In this study, the convolutional neural network (CNN) is utilised to enhance the quality of radar images. First, a four-layer convolutional neural network is trained. The input of it is a complex valued two-dimensional low-resolution radar image, and
Externí odkaz:
https://doaj.org/article/85ec1a08a6864790a24977556b082a02
Publikováno v:
The Journal of Engineering (2019)
The movements of the human body and limbs result in unique micro-Doppler signatures, which can be exploited for classifying human activities. In this work, the authors propose a Convolutional Gated Recurrent Units Neural Network (CNN-GRU) to classify
Externí odkaz:
https://doaj.org/article/18800679c83645439e8ab05c190ede35
Publikováno v:
IEEE Antennas and Wireless Propagation Letters. 21:571-575
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::201446d87006b2f939040d321910b791
https://doi.org/10.1109/lawp.2021.3138512
https://doi.org/10.1109/lawp.2021.3138512