SAR ATR Based on Convolutional Neural Network

SAR ATR Based on Convolutional Neural Network

This study presents a new method of Synthetic Aperture Radar (SAR) image target recognition based on a convolutional neural network. First, we introduce a class separability measure into the cost function to improve this network’s ability to distinguish between categories. Then, we extract SAR image...

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Bibliographic Details
Main Authors: Tian Zhuangzhuang, Zhan Ronghui, Hu Jiemin, Zhang Jun
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2016-06-01
Series:Leida xuebao
Subjects:
Synthetic Aperture Radar (SAR)
Automatic Target Recognition (ATR)
Convolutional Neural Network (CNN)
Support Vector Machine (SVM)
Back Propagation (BP)
Online Access:http://radars.ie.ac.cn/CN/html/R16037.htm

Internet

http://radars.ie.ac.cn/CN/html/R16037.htm

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