Robust SAR Automatic Target Recognition Based on Transferred MS-CNN with L(2)-Regularization

Though Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) via Convolutional Neural Networks (CNNs) has made huge progress toward deep learning, some key issues still remain unsolved due to the lack of sufficient samples and robust model. In this paper, we proposed an efficient transfe...

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Detalles Bibliográficos
Autores principales: Zhai, Yikui, Deng, Wenbo, Xu, Ying, Ke, Qirui, Gan, Junying, Sun, Bing, Zeng, Junying, Piuri, Vincenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6930780/
https://www.ncbi.nlm.nih.gov/pubmed/31915430
http://dx.doi.org/10.1155/2019/9140167

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6930780/
https://www.ncbi.nlm.nih.gov/pubmed/31915430
http://dx.doi.org/10.1155/2019/9140167

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