Automatic recognition of military vehicles with Krawtchouk moments

Clemente, Carmine and Pallotta, Luca and Gaglione, Domenico and De Maio, Antonio and Soraghan, John J. (2017) Automatic recognition of military vehicles with Krawtchouk moments. IEEE Transactions on Aerospace and Electronic Systems, 53 (1). pp. 493-500. ISSN 0018-9251 (https://doi.org/10.1109/TAES.2017.2649160)

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Abstract

The challenge of Automatic Target Recognition (ATR) of military targets within a Synthetic Aperture Radar (SAR) scene is addressed in this paper. The proposed approach exploits the discrete defined Krawtchouk moments, that are able to represent a detected extended target with few features, allowing its characterization. The proposed algorithm provides robust performance for target recognition, identification and characterization, with high reliability in presence of noise and reduced sensitivity to discretization errors. The effectiveness of the proposed approach is demonstrated using the MSTAR dataset.

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  Item type:	Article
  ID code:	57206
  Dates:	Date Event 28 February 2017 Published 17 January 2017 Published Online 31 July 2016 Accepted 2016 Submitted
  Notes:	(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering Technology and Innovation Centre > Sensors and Asset Management
  Depositing user:	Pure Administrator
  Date deposited:	01 Aug 2016 10:50
  Last modified:	20 Apr 2024 00:26
  Related URLs:	Journal or Publication
  URI:	https://strathprints.strath.ac.uk/id/eprint/57206