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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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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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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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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
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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
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Serial GANs: A Feature-Preserving Heterogeneous Remote Sensing Image Transformation Model
Remote Sensing, 2021 In recent years, the interpretation of SAR images has been significantly improved with the development of deep learning technology, and using conditional generative adversarial nets (CGANs) for SAR-to-optical transformation, also known as image ...
Daning Tan +5 more
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Distributed High-Degree Cubature Information Filter With Embedded Hybrid Consensus
IEEE Access, 2019 To settle the problem of distributed nonlinear state estimation in sensor networks with naive nodes, a novel distributed high-degree cubature information filter with embedded hybrid consensus (DHCIF) is proposed.
Jun Liu +4 more
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A Discriminative Distillation Network for Cross-Source Remote Sensing Image Retrieval
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Nowadays, several remote sensing image capturing technologies are used ranging from unmanned aerial vehicles to satellites. Powerful learning-based discriminative features play an essential role in content-based remote sensing image retrieval (CBRSIR ...
Wei Xiong +3 more
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