publication . Part of book or chapter of book . Conference object . 2019

UAV Classification with Deep Learning Using Surveillance Radar Data

Stamatios Samaras; Vasileios Magoulianitis; Anastasios Dimou; Dimitrios Zarpalas; Petros Daras;
Open Access
  • Published: 23 Nov 2019
  • Publisher: Springer International Publishing
Abstract
The Unmanned Aerial Vehicle (UAV) proliferation has raised many concerns, since their potentially malicious usage renders them as a detrimental tool for a number of illegal activities. Radar based counter-UAV applications provide a robust solution for UAV detection and classification. Most of the existing research addresses the problem of UAV classification by extracting features from the time variations of the Fourier spectra. Yet, these solutions require that the UAV is illuminated by the radar for a longer time which can be only met by a tracking radar architecture. On the other hand, surveillance radar architectures don’t have such a cumbersome requirement a...
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Subjects
ACM Computing Classification System: ComputerApplications_COMPUTERSINOTHERSYSTEMSComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS
free text keywords: UAVs, Drones, Classification, Deep learning, Surveillance radar, Situation awareness, Radar, law.invention, law, Artificial intelligence, business.industry, business, Classification methods, Fourier spectrum, Real-time computing, Artificial neural network, Computer science, Secondary surveillance radar, Drone, Deep learning
Funded by
EC| ALADDIN
Project
ALADDIN
Advanced hoListic Adverse Drone Detection, Identification Neutralization
  • Funder: European Commission (EC)
  • Project Code: 740859
  • Funding stream: H2020 | RIA
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Conference object . 2019
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Part of book or chapter of book . 2019
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