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One-vs-All Convolutional Neural Networks for Synthetic Aperture Radar Target Recognition Cover

One-vs-All Convolutional Neural Networks for Synthetic Aperture Radar Target Recognition

Cybernetics and Information Technologies
Volume 22 (2022): Issue 3 (September 2022)
By: Bileesh Plakkal Babu and  Swathi Jamjala Narayanan  
Open Access
|Sep 2022
Authors

Authors

Bileesh Plakkal Babu

bileeshpbabu@gmail.com

School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India

Swathi Jamjala Narayanan

swathi.jns@gmail.com

School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India
DOI: https://doi.org/10.2478/cait-2022-0035 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 179 - 197
Submitted on: Dec 13, 2021
Accepted on: Aug 2, 2022
Published on: Sep 22, 2022
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Automatic target recognition,
synthetic aperture radar,
convolutional neural network,
deep learning,
computer vision
Related subjects:
Computer sciences,
Information technology

© 2022 Bileesh Plakkal Babu, Swathi Jamjala Narayanan, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 22 (2022): Issue 3 (September 2022)
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