Results 11 to 20 of about 642,601 (311)
Annual Progress of the Sea-detecting X-band Radar and Data Acquisition Program
Leida xuebao, 2021 There is an urgent need for radar-measured data to tackle key technologies of radar maritime target detection. The ‘‘Sea-detecting X-band Radar and Data Acquisition Program’’, proposed in 2019, aims to obtain data through radar experiments and share them
Ningbo LIU +5 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 A. Sakla, Hamid Krim
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Track Segment Association via track graph representation learning
IET Radar, Sonar & Navigation, 2021 Traditional Track Segment Association (TSA) methods used track position vectors or other track information to get association results. However, simply extracting the track position information to form track vectors will lead to the loss of irregular ...
Wei Xiong +5 more
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Ship Target Identification via Bayesian-Transformer Neural Network
Journal of Marine Science and Engineering, 2022 Ship target identification is of great significance in both military and civilian fields. Many methods have been proposed to identify the targets using tracks information. However, most of existing studies can only identify two or three types of targets,
Zhan Kong +5 more
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A Semi-supervised Emitter Identification Method for Imbalanced Category
Leida xuebao, 2022 This paper proposes an SEI method based on cost-sensitive learning and semisupervised generative adversarial networks to address the problem of incomplete sample labels and imbalanced data category distribution in Specific Emitter Identification (SEI ...
Kaiwen TAN +5 more
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Specific Emitter Identification Based on Software-Defined Radio and Decision Fusion
IEEE Access, 2021 Specific emitter identification (SEI) uses the unintentional modulation information carried by the emitter waveform, i.e., radio frequency fingerprints, to realize the matching identification of the received signal and its corresponding emitter.
Kaiwen Tan +4 more
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On ethically aligned information fusion for defence and security systems [PDF]
, 2022 8 S.Research on Information Fusion does not consider whether and with what capabilities defense and security systems should be developed. Nor does it have to assess the ethical dimension of their use.
Koch, W.
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Information fusion in the immune system [PDF]
Information Fusion, 2010 Biologically-inspired methods such as evolutionary algorithms and neural networks are proving useful in the field of information fusion. Artificial Immune Systems (AISs) are a biologically-inspired approach which take inspiration from the biological immune system.
Jamie Twycross, Uwe Aickelin
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AN INTRODUCTION TO DSmT FOR INFORMATION FUSION [PDF]
New Mathematics and Natural Computation, 2012 The management and combination of uncertain, imprecise, fuzzy and even paradoxical or highly conflicting sources of information has always been, and still remains today, of primal importance for the development of reliable modern information systems involving artificial and approximate reasoning.
JEAN DEZERT ONERA, FLORENTIN SMARANDACHE
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Computational Mechanism Design for Information Fusion within Sensor Networks [PDF]
, 2006 Conventional centralised information fusion and control architectures will be challenged by developments in sensor networks that allow sophisticated autonomous sensors, owned by different stakeholders with individual goals, to interact and share ...
S. Reece +16 more
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