基于sbr快速成像方案和CNN的ISAR自动目标识别方法

2020 IEEE MTT-S International Wireless Symposium (IWS) Pub Date : 2020-09-20 DOI:10.1109/iws49314.2020.9360206

Yusheng Li, Baojin Yang, Zi He, Rushan Chen

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引用次数: 0

摘要

本文提出了一种卷积神经网络来识别不同类别的目标。采用基于sbr的快速图像方案可以获取CNN数据库。数值计算结果表明了该方法的有效性和准确性。对于3类任务，准确率达到95%。

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An ISAR Automatic Target Recognition Approach Based on SBR-based Fast Imaging Scheme and CNN

A convolutional neutral network has been proposed to identify different classes of targets in this paper. The database of CNN can be acquired by using SBR-based fast image scheme. The numerical results show the efficiency and accuracy for the construction of database. Moreover, it can achieve accuracy of 95% for the 3-class task.

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来源期刊

2020 IEEE MTT-S International Wireless Symposium (IWS)

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