Synthetic Aperture Radar Target Recognition with Feature Fusion Based on a Stacked Autoencoder

Synthetic Aperture Radar Target Recognition with Feature Fusion Based on a Stacked Autoencoder

Feature extraction is a crucial step for any automatic target recognition process, especially in the interpretation of synthetic aperture radar (SAR) imagery. In order to obtain distinctive features, this paper proposes a feature fusion algorithm for SAR target recognition based on a stacked autoenc...

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Bibliographic Details
Main Authors: Miao Kang, Kefeng Ji, Xiangguang Leng, Xiangwei Xing, Huanxin Zou
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Sensors
Subjects:
SAR target recognition
feature fusion
stacked autoencoder
MSTAR
Online Access:http://www.mdpi.com/1424-8220/17/1/192

Internet

http://www.mdpi.com/1424-8220/17/1/192

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