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Neural network based for automatic vehicle classification in forward scattering radar


Citation

Raja Abdullah, Raja Syamsul Azmir and Saripan, M. Iqbal and Cherniakov, Mike (2007) Neural network based for automatic vehicle classification in forward scattering radar. In: 2007 IET International Conference on Radar Systems, 15-18 Oct. 2007, Edinburgh, United Kingdom. .

Abstract

The paper is dedicated to the continuation and improvement of the vehicle classification method of SISAR micro-sensors for ground vehicles previously presented in RADAR2004 and RADAR2005 [1–2]. In spite of a number of theoretical research efforts in the application of SISAR for target classification [1–4] , there are only few research concentrate on the classification processing to confirm the feasibility of SISAR's practicality. This paper begins with an overview and summary of the authors' previous research. Then a new research topic in the improvement of the classification performance for various scenarios using Neural Network is proposed. Finally experimental results, conclusions and recommendations are presented.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1049/cp:20070524
Publisher: IEEE
Keywords: Forward scattering radar; Neural network; Principal component analysis; Vehicle classification
Depositing User: Nabilah Mustapa
Date Deposited: 14 Jul 2016 09:15
Last Modified: 30 Sep 2016 07:55
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1049/cp:20070524
URI: http://psasir.upm.edu.my/id/eprint/47734
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