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
Published in:	Sensors (Basel, Switzerland) Vol. 17; no. 1; p. 192
Main Authors:	Kang, Miao, Ji, Kefeng, Leng, Xiangguang, Xing, Xiangwei, Zou, Huanxin
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 20.01.2017 MDPI
Subjects:	Accuracy Algorithms Classification Feature extraction feature fusion Information dissemination MSTAR Networks Neural networks Redundancy SAR target recognition Sensors stacked autoencoder Synthetic aperture radar Target recognition Wavelet transforms Beijing China China SAR target recognition feature fusion MSTAR stacked autoencoder
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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