Results 21 to 30 of about 10,948,776 (338)

Experimental results of maritime moving target detection based on passive bistatic radar using non-cooperative radar illuminators

The Journal of Engineering, 2019
A signal processing method of passive bistatic radar using non-cooperative pulse radar illuminators is proposed. The proposed method estimates unknown parameters of transmitting radar signal from direct-path signal, and uses estimated parameters for ...
Song Jie, Cai Fu-qing, Zhang Cai-sheng, He You   +3 more
doaj   +1 more source

Initial analytical theory of plasma disruption and experimental evidence

Scientific Reports, 2023
It is a great physical challenge to achieve controlled nuclear fusion in magnetic confinement tokamak and solve energy shortage problem for decades. In tokamak plasma, large-scale plasma instability called disruption will halt power production of reactor
Huibin Qiu, Zuozhi Hu, Shengfa Wu, Jiangcun Chen, Chengjie Zhong, Junjie Wu, Xiaobin Li, Donghua Xiao, Chunhui Shi, Junhui Liu, Wenjun Xiong, Tianyi Hu, Qilong Cai, Youlong Yuan   +13 more
doaj   +1 more source

Deep Learning for SAR Ship Detection: Past, Present and Future

Remote Sensing, 2022
After the revival of deep learning in computer vision in 2012, SAR ship detection comes into the deep learning era too. The deep learning-based computer vision algorithms can work in an end-to-end pipeline, without the need of designing features manually,
Jianwei Li, Congan Xu, Hang Su, Long Gao, Taoyang Wang   +4 more
doaj   +1 more source

A Deep Cross-Modality Hashing Network for SAR and Optical Remote Sensing Images Retrieval

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
The content-based remote sensing image retrieval (CBRSIR) has recently become a hot topic due to its wide applications in analysis of remote sensing data. However, since conventional CBRSIR is unsuitable in harsh environments, this article focuses on the
Wei Xiong, Zhenyu Xiong, Yang Zhang, Yaqi Cui, Xiangqi Gu   +4 more
doaj   +1 more source

SAR image target-detection method based on two-stage CFAR detector with G^0 distribution

The Journal of Engineering, 2019
CFAR detection algorithm is widely used in the typical target detection of SAR images. In SAR image target detection, the simple statistical distribution models, such as Gaussian distribution, normal distribution, Weibull distribution etc., are obviously
Cai Fu-qing, Song Jie, Liu Heng-yan, Xiong Wei   +3 more
doaj   +1 more source

Fault Diagnosis of Bearings Based on Multi-Sensor Information Fusion and 2D Convolutional Neural Network

IEEE Access, 2021
Intelligent operation and maintenance is an important part of Industry 4.0. In order to realize the intelligent of plant equipment, it will make full use of artificial intelligence methods to evaluate the operating status of the equipment.
Jiaxing Wang, Dazhi Wang, Sihan Wang, Wenhui Li, Keling Song   +4 more
semanticscholar   +1 more source

SAR image detection of sea targets based on two-step CFAR detector of KK distribution

The Journal of Engineering, 2019
In the detection of SAR image of sea targets, the simple statistical distribution models such as Gaussian distribution, normal distribution, Weibull distribution etc.
Song Jie, Cai Fu-qing, Liu Heng-yan, Xiong Wei   +3 more
doaj   +1 more source

Dynamic open set specific emitter identification via multi‐channel reconstructive discriminant network

IET Radar, Sonar & Navigation, 2023
Specific emitter identification (SEI) is an emerging device authentication technology, which depends on the inherent hardware characteristics of wireless devices. By analysing the received signal, the hardware characteristics of a specific emitter can be
Kaiwen Tan, Wenjun Yan, Limin Zhang, Yuyuan Zhang, Keyuan Yu, Tingting Zhang   +5 more
doaj   +1 more source

Neural-Network-Assisted Polar Code Decoding Schemes

Applied Sciences, 2022
The traditional fast successive-cancellation (SC) decoding algorithm can effectively reduce the decoding steps, but the decoding adopts a sub-optimal algorithm, so it cannot improve the bit error performance. In order to improve the bit error performance
Hengyan Liu, Limin Zhang, Wenjun Yan, Qing Ling   +3 more
doaj   +1 more source

Generative Information Fusion

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
In this work, we demonstrate the ability to exploit sensing modalities for mitigating an unrepresented modality or for potentially re-targeting resources. This is tantamount to developing proxy sensing capabilities for multi-modal learning. In classical fusion, multiple sensors are required to capture different information about the same target ...
Kenneth Tran, Wesam Sakla, Hamid Krim
openaire   +2 more sources