A Target SAR Image Expansion Method Based on Conditional Wasserstein Deep Convolutional GAN for Automatic Target Recognition

A Target SAR Image Expansion Method Based on Conditional Wasserstein Deep Convolutional GAN for Automatic Target Recognition

For the automatic target recognition (ATR) based on synthetic aperture radar (SAR) images, enough training data are required to effectively characterize target features and obtain good recognition performance. However, in practical applications, it is difficult to collect sufficient training data. T...

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Bibliographic Details
Main Authors: Jikai Qin, Zheng Liu, Lei Ran, Rong Xie, Junkui Tang, Zekun Guo
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Automatic target recognition (ATR)
generative adversarial network (GAN)
resnet18
SAR image expansion
support vector machine
synthetic aperture radar (SAR)
Online Access:https://ieeexplore.ieee.org/document/9858033/

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