SAR Target Recognition with Feature Fusion Based on Stacked Autoencoder

SAR Target Recognition with Feature Fusion Based on Stacked Autoencoder

A feature fusion algorithm based on a Stacked AutoEncoder (SAE) for Synthetic Aperture Rader (SAR) imagery is proposed in this paper. Firstly, 25 baseline features and Three-Patch Local Binary Patterns (TPLBP) features are extracted. Then, the features are combined in series and fed into the SAE net...

Full description

Bibliographic Details
Main Authors: Kang Miao, Ji Kefeng, Leng Xiangguang, Xing Xiangwei, Zou Huanxin
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2017-04-01
Series:Leida xuebao
Subjects:
Synthetic Aperture Rader (SAR)
Target recognition
Feature fusion
Stacked AutoEncoder (SAE)
Moving and Stationary Target Acquisition and Recognition (MSTAR)
Online Access:http://radars.ie.ac.cn/CN/html/R16112.htm

Internet

http://radars.ie.ac.cn/CN/html/R16112.htm

Similar Items