Radar Target Recognition Based on Stacked Denoising Sparse Autoencoder

Radar Target Recognition Based on Stacked Denoising Sparse Autoencoder

Feature extraction is a key step in radar target recognition. The quality of the extracted features determines the performance of target recognition. However, obtaining the deep nature of the data is difficult using the traditional method. The autoencoder can learn features by making use of data and...

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Bibliographic Details
Main Authors: Zhao Feixiang, Liu Yongxiang, Huo Kai
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2017-04-01
Series:Leida xuebao
Subjects:
Target recognition
Deep learning
Stacked denoising sparse autoencoder
Online Access:http://radars.ie.ac.cn/CN/html/R16151.htm

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