In the laser-acoustic communication mode, optical signals are affected by atmospheric turbulence and attenuation effects,while underwater multipath effects cause distortion and frequency shifts in acoustic signals,red...
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Associating targets detected by heterogeneous imaging sensors is a key issue in Target recognition based on multi-sensor image fusion. Traditional algorithms often use a single type of information from the image to ca...
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Associating targets detected by heterogeneous imaging sensors is a key issue in Target recognition based on multi-sensor image fusion. Traditional algorithms often use a single type of information from the image to calculate the cost matrix between sensor-detected targets, such as attribute information or position information. When multiple targets have similar information, these methods often lead to incorrect associations and are susceptible to sensor system errors and environmental factors. However, as technology advances, the information that sensors can detect is becoming more diverse and abundant. Thus, this paper proposes an algorithm that combines grey relational analysis based on target attribute information and DBSCAN clustering analysis based on position information. Using Dempster-Shafer evidence theory, the algorithm fuses the two types of information to achieve target association for heterogeneous imaging sensors. According to Monte Carlo simulation experiments using ships as targets, comparative experiments were conducted with grey relational analysis based on attribute information, bias mapping clustering based on position information, and the weighted bipartite graph optimal solution algorithm that uses both attribute and position information as features. The experimental results indicate that the algorithm proposed in this paper can overcome the limitations of single-information target association. It effectively mitigates the impacts of false alarms and positional distribution, thereby improving the accuracy of target association for heterogeneous imaging sensors.
Quantum computing are breakthroughs aimed to revolutionize several sectors, although they also present considerable cybersecurity threats. Quantum computers can manage quite greater quantities of information than the ...
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Serverless applications are based on Function-as-a-Service (FaaS) platforms where serverless functions interact with other cloud-specific services. The integration of these components is crucial for the application’s...
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The development of wireless technology for ground communications is being aided by the use of unmanned aerial vehicles (UAVs). It is believed that these technologies will continue to advance in the next years. Traditi...
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This study introduces a dynamic event-handling system designed for hand gesture recognition in mobile augmented reality (AR) viewers. By repurposing low-cost virtual reality (VR) boxes in conjunction with mobile phone...
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The objective of this research is to enhance sound field rendering efficiency using a heterogeneous computing framework. By integrating GPU and CPU resources, we address performance challenges in complex environments ...
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Spectrally-constrained sequences (SCSs) are primarily used in emerging systems operating over non-contiguous spectrum such as cognitive radio and cognitive radar. In order to obtain more SCSs, firstly, a novel type of...
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Nowadays, the surveillance system performing as an indispensable part for modern industrial Internet has attracted much attention. With the continuous progress of microprocessor technology, sensor technology, particul...
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To enhance the efficiency and scalability of virtual teaching experiment systems, a big data virtual teaching experiment system was built using container technology. The system architecture was designed using a contai...
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