NDLI: Synthetic aperture radar automatic target classification processing concept

Content Provider	IET Digital Library
Author	Woollard, M. Bannon, A. Ritchie, M. Griffiths, H.
Abstract	A new simulation and processing methodology based on open source tools to produce high fidelity synthetic aperture radar (SAR) simulations of ground vehicles of varying types, as well as analysis of an applied automatic target recognition (ATR) technique is presented in this Letter. This work is based around the RaySAR open-source model and the outputs have been configured for both monostatic and bistatic geometries. Input CAD models of various military and civilian vehicles are used to produce the SAR imagery. This output imagery was then used to train a tiny you only look once convolutional neural network (CNN) classifier. The classification success of the CNN applied was showed to produce significantly accurate results and the whole pipeline of processing enabled rapid evaluation of potential ATR methods against targets of choice.
Starting Page	1301
Ending Page	1303
Page Count	3
ISSN	00135194
Volume Number	55
e-ISSN	1350911X
Issue Number	Issue 24, Nov (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/55/24
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2019.2389
Journal	Electronics Letters
Publisher Date	2019-10-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	ATR Technique Automatic Target Recognition Technique Bistatic Geometries CAD Civilian Vehicle CNN Classifier Computer Vision And Image Processing Technique Convolutional Neural Nets Convolutional Neural Network Classifier Electrical Engineering Computing Ground Vehicle High Fidelity Synthetic Aperture Radar Simulations Image Classification Image Recognition Input CAD Model Knowledge Engineering Technique Learning in AI Military Radar Military Vehicle Monostatic Geometries Neural Computing Technique Neural Network Classifier Open Source Tool Radar Computing Radar Equipment Radar Imaging RaySAR Open-source Model SAR Imagery SAR Simulations Synthetic Aperture Radar Synthetic Aperture Radar Automatic Target Classification Processing Concept System And Application
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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