UAVs and birds classification using robust coordinate attention synergy residual split-attention network based on micro-Doppler signature measurement by using L …
Developing unmanned aerial vehicles (UAVs) and birds surveillance technologies to
produce accurate descriptions and achieve high classification accuracy is critical in the field …
produce accurate descriptions and achieve high classification accuracy is critical in the field …
Dual-stream siamese vision transformer with mutual attention for radar gait verification
The inconspicuousness of human gait characteristic in radar signal makes it hard to
differentiate different identities. In this work, a Dual-stream Siamese Vision Transformer with …
differentiate different identities. In this work, a Dual-stream Siamese Vision Transformer with …
Detection and recognition of UA targets with multiple sensors
WS Chen, XL Chen, J Liu, QB Wang, XF Lu… - The Aeronautical …, 2023 - cambridge.org
Modern low-altitude unmanned aircraft (UA) detection and surveillance systems mostly
adopt the multi-sensor fusion technology scheme of radar, visible light, infrared, acoustic …
adopt the multi-sensor fusion technology scheme of radar, visible light, infrared, acoustic …
Combined Radar and Camera Drone Detection in Urban Environment: A Simulation-Based Approach
MA Drouin, FBD Dizeu, TC Stewart… - 2023 IEEE Sensors …, 2023 - ieeexplore.ieee.org
Unmanned Airborne Systems (UAS) have gained popularity in recent years. Drone pilots
sometimes operate in restricted areas where they can involuntarily disrupt human activities …
sometimes operate in restricted areas where they can involuntarily disrupt human activities …
Edge UAV Detection Based on Cyclic Spectral Feature: An Intelligent Scheme
Z Zhang, W Ouyang, H Gao… - … and Mobile Computing, 2023 - Wiley Online Library
With the commercialization of the fifth‐generation mobile communication network (5G), the
scale of the unmanned aerial vehicle (UAV) industry has continued to expand. However, the …
scale of the unmanned aerial vehicle (UAV) industry has continued to expand. However, the …
Signal classification at discrete frequencies using machine learning
CJ Swinney - 2023 - repository.essex.ac.uk
Incidents such as the 2018 shut down of Gatwick Airport due to a small Unmanned Aerial
System (UAS) airfield incursion, have shown that we don't have routine and consistent …
System (UAS) airfield incursion, have shown that we don't have routine and consistent …
[PDF][PDF] Classification of Mini-UAVs Using EMD and LSTM Based Classification Framework
O Bahar - 2023 - thesis.cust.edu.pk
Over the past ten years, there have been considerable advancements in both UAV and
industry. UAV flying performance has dramatically increased while equipment costs have …
industry. UAV flying performance has dramatically increased while equipment costs have …
Range-Doppler characteristics of multi-rotor unmanned aerial vehicle in low-frequency passive radar
Z Wenming, F Wenhui, X Xiaoxia… - IET International Radar …, 2023 - ieeexplore.ieee.org
Passive radar based on Frequency Modulation (FM) Broadcast, Digital Video Broadcasting
for Terrestrial (DVB-T), Digital Terrestrial Multimedia Broadcast (DTMB) and other low …
for Terrestrial (DVB-T), Digital Terrestrial Multimedia Broadcast (DTMB) and other low …