Super-resolution Reconstruction of SAR Images Based on Feature Reuse Dilated-Residual Convolutional Neural Networks

Super-resolution Reconstruction of SAR Images Based on Feature Reuse Dilated-Residual Convolutional Neural Networks

For Synthetic Aperture Radar (SAR) images, traditional super-resolution methods heavily rely on the artificial design of visual features, and super-reconstruction algorithms based on general Convolutional Neural Network (CNN) have poor fidelity to the target edge contour and weak reconstruction abil...

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Bibliographic Details
Main Authors: LI Meng, LIU Chang
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2020-04-01
Series:Leida xuebao
Subjects:
sar
super resolution construction
dilated convolution
feature reuse
perceptual loss
Online Access:http://radars.ie.ac.cn/article/doi/10.12000/JR19110?viewType=HTML

Internet

http://radars.ie.ac.cn/article/doi/10.12000/JR19110?viewType=HTML

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