Automatic Target Recognition for Synthetic Aperture Radar Images Based on Super-Resolution Generative Adversarial Network and Deep Convolutional Neural Network

Automatic Target Recognition for Synthetic Aperture Radar Images Based on Super-Resolution Generative Adversarial Network and Deep Convolutional Neural Network

Aiming at the problem of the difficulty of high-resolution synthetic aperture radar (SAR) image acquisition and poor feature characterization ability of low-resolution SAR image, this paper proposes a method of an automatic target recognition method for SAR images based on a super-resolution generat...

Full description

Bibliographic Details
Main Authors: Xiaoran Shi, Feng Zhou, Shuang Yang, Zijing Zhang, Tao Su
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Remote Sensing
Subjects:
synthetic aperture radar (SAR)
automatic target recognition (ATR)
image segmentation
super-resolution generative adversarial network (SRGAN)
deep convolutional neural network (DCNN)
Online Access:http://www.mdpi.com/2072-4292/11/2/135

Internet

http://www.mdpi.com/2072-4292/11/2/135

Similar Items