Results 11 to 20 of about 16,823,376 (289)
Annual Progress of the Sea-detecting X-band Radar and Data Acquisition Program
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
doaj +1 more source
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
openaire +3 more sources
Track Segment Association via track graph representation learning
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
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
doaj +1 more source
A Semi-supervised Emitter Identification Method for Imbalanced Category
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
doaj +1 more source
Specific Emitter Identification Based on Software-Defined Radio and Decision Fusion
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
doaj +1 more source
Information fusion in the immune system [PDF]
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]
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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Natural Language Processing in Information Fusion Terminology Management
The dynamic development of information fusion research implies introduction of new terms and concepts, which in turn requires tools and methods for terminology organization and standardization, as well as tools for creating domain-specific ontology.
Dura, Elzbieta,, Gawronska, Barbara,
core +8 more sources
Near-space hypersonic target coherent integration algorithm based on search compensation
A near-space hypersonic target coherent integration algorithm based on search compensation is proposed for the problem of range gate stride and Doppler extension. The algorithm first estimates the target radial velocity and Doppler rate by searching, and
Lin Li +3 more
doaj +1 more source

