A Lightweight Convolutional Neural Network Based on Visual Attention for SAR Image Target Classification

A Lightweight Convolutional Neural Network Based on Visual Attention for SAR Image Target Classification

With the continuous development of the convolutional neural network (CNN) concept and other deep learning technologies, target recognition in Synthetic Aperture Radar (SAR) images has entered a new stage. At present, shallow CNNs with simple structure are mostly applied in SAR image target recogniti...

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Bibliographic Details
Main Authors: Jiaqi Shao, Changwen Qu, Jianwei Li, Shujuan Peng
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Sensors
Subjects:
SAR
classification
convolutional neural network
visual attention
depthwise separable convolution
imbalance data
Online Access:http://www.mdpi.com/1424-8220/18/9/3039

Internet

http://www.mdpi.com/1424-8220/18/9/3039

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