Robust SAR Automatic Target Recognition Based on Transferred MS-CNN with L2-Regularization

Robust SAR Automatic Target Recognition Based on Transferred MS-CNN with L2-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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Bibliographic Details
Main Authors: Yikui Zhai, Wenbo Deng, Ying Xu, Qirui Ke, Junying Gan, Bing Sun, Junying Zeng, Vincenzo Piuri
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:Computational Intelligence and Neuroscience
Online Access:http://dx.doi.org/10.1155/2019/9140167

Internet

http://dx.doi.org/10.1155/2019/9140167

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