Application of Polarimetric Features and Support Vector Machines for Classification of Improvised Explosive Devices-Reference-Cited by-同舟云学术

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Application of Polarimetric Features and Support Vector Machines for Classification of Improvised Explosive Devices

Published:2019-11 Issue:11 Volume:18 Page:2282-2286
ISSN:1536-1225
Container-title:IEEE Antennas and Wireless Propagation Letters
language:
Short-container-title:Antennas Wirel. Propag. Lett.

Author:

Gutierrez Sergio^ORCID,Vega Felix^ORCID,Gonzalez Fabio A.^ORCID,Baer Christoph^ORCID,Sachs Jurgen^ORCID

Funder

Deutsche Forschungsgemeinschaft

Departamento Administrativo de Ciencia, Tecnología e Innovación

Humanitarian Microwave Detection of Improvised Explosive Devices in Colombia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/7727/8891824/08794754.pdf?arnumber=8794754

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of Intelligence Software for GPR Investigation of Buried Object;2024 IEEE Space, Aerospace and Defence Conference (SPACE);2024-07-22

2. A Radar Echo Simulator for the Synthesis of Randomized Training Data Sets in the Context of AI-Based Applications;Sensors;2024-01-27

3. Detection of explosives in dustbins using deep transfer learning based multiclass classifiers;Applied Intelligence;2024-01

4. Classification of Targets Using Time-Frequency Analysis of GPR Data;2023 IEEE Microwaves, Antennas, and Propagation Conference (MAPCON);2023-12-11

5. Interpol review of the analysis and detection of explosives and explosives residues;Forensic Science International: Synergy;2023

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