Results 21 to 30 of about 17,455,412 (293)
Multi-level fusion of hard and soft information
, 2022 8 S.Driven by the underlying need for a yet to be developed framework for fusing heterogeneous data and information at different semantic levels coming from both sensory and human sources, we present some results of the research being conducted within ...
Biermann, J. +5 more
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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 +4 more
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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 +4 more
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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 +13 more
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Multi-level fusion of hard and soft information for intelligence
, 2022 S.453-477Driven by the underlying need for an as yet undeveloped framework for fusing heterogeneous data and information at different semantic levels coming from both sensory and human sources, we present some results of the research conducted within the
Snidaro, Lauro +5 more
core +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 +3 more
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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 +3 more
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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 +5 more
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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 +3 more
doaj +1 more source
An information fusion demonstrator for tactical intelligence processing in network-based defense [PDF]
, 2007 The Swedish Defence Research Agency (FOI) has developed a concept demonstrator called the Information Fusion Demonstrator 2003 (IFD03) for demonstrating information fusion methodology suitable for a future Network Based Defense (NBD) C4ISR system.
Johan Walter +20 more
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