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Automatic Target Recognition of SAR Images Using Collaborative Representation

Synthetic aperture radar (SAR) automatic target recognition (ATR) is one of the key technologies for SAR image interpretation. This paper proposes a SAR target recognition method based on collaborative representation-based classification (CRC). The collaborative coding adopts the global dictionary c...

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Detalles Bibliográficos
Autor principal: Hu, Jinge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9155971/
https://www.ncbi.nlm.nih.gov/pubmed/35655514
http://dx.doi.org/10.1155/2022/3100028
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author Hu, Jinge
author_facet Hu, Jinge
author_sort Hu, Jinge
collection PubMed
description Synthetic aperture radar (SAR) automatic target recognition (ATR) is one of the key technologies for SAR image interpretation. This paper proposes a SAR target recognition method based on collaborative representation-based classification (CRC). The collaborative coding adopts the global dictionary constructed by training samples of all categories to optimally reconstruct the test samples and determines the target category according to the reconstruction error of each category. Compared with the sparse representation methods, the collaborative representation strategy can improve the representation ability of a small number of training samples for test samples. For SAR target recognition, the resources of training samples are very limited. Therefore, the collaborative representation is more suitable. Based on the MSTAR dataset, the experiments are carried out under a variety of conditions and the proposed method is compared with other classifiers. Experimental results show that the proposed method can achieve superior recognition performance under the standard operating condition (SOC), configuration variances, depression angle variances, and a small number of training samples, which proves its effectiveness.
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spelling pubmed-91559712022-06-01 Automatic Target Recognition of SAR Images Using Collaborative Representation Hu, Jinge Comput Intell Neurosci Research Article Synthetic aperture radar (SAR) automatic target recognition (ATR) is one of the key technologies for SAR image interpretation. This paper proposes a SAR target recognition method based on collaborative representation-based classification (CRC). The collaborative coding adopts the global dictionary constructed by training samples of all categories to optimally reconstruct the test samples and determines the target category according to the reconstruction error of each category. Compared with the sparse representation methods, the collaborative representation strategy can improve the representation ability of a small number of training samples for test samples. For SAR target recognition, the resources of training samples are very limited. Therefore, the collaborative representation is more suitable. Based on the MSTAR dataset, the experiments are carried out under a variety of conditions and the proposed method is compared with other classifiers. Experimental results show that the proposed method can achieve superior recognition performance under the standard operating condition (SOC), configuration variances, depression angle variances, and a small number of training samples, which proves its effectiveness. Hindawi 2022-05-24 /pmc/articles/PMC9155971/ /pubmed/35655514 http://dx.doi.org/10.1155/2022/3100028 Text en Copyright © 2022 Jinge Hu. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hu, Jinge
Automatic Target Recognition of SAR Images Using Collaborative Representation
title Automatic Target Recognition of SAR Images Using Collaborative Representation
title_full Automatic Target Recognition of SAR Images Using Collaborative Representation
title_fullStr Automatic Target Recognition of SAR Images Using Collaborative Representation
title_full_unstemmed Automatic Target Recognition of SAR Images Using Collaborative Representation
title_short Automatic Target Recognition of SAR Images Using Collaborative Representation
title_sort automatic target recognition of sar images using collaborative representation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9155971/
https://www.ncbi.nlm.nih.gov/pubmed/35655514
http://dx.doi.org/10.1155/2022/3100028
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