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...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of radars = Lei da xue bao Vol. 6; no. 2; pp. 149 - 156
Main Authors:	Zhao Feixiang, Liu Yongxiang, Huo Kai
Format:	Journal Article
Language:	Chinese English
Published:	China Science Publishing & Media Ltd. (CSPM) 28.04.2017
Subjects:	Deep learning Stacked denoising sparse autoencoder Target recognition
ISSN:	2095-283X, 2095-283X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!