PeaceGAN: A GAN-Based Multi-Task Learning Method for SAR Target Image Generation with a Pose Estimator and an Auxiliary Classifier

PeaceGAN: A GAN-Based Multi-Task Learning Method for SAR Target Image Generation with a Pose Estimator and an Auxiliary Classifier

Although generative adversarial networks (GANs) are successfully applied to diverse fields, training GANs on synthetic aperture radar (SAR) data is a challenging task due to speckle noise. On the one hand, in a learning perspective of human perception, it is natural to learn a task by using informat...

Full description

Bibliographic Details
Main Authors: Jihyong Oh, Munchurl Kim
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Remote Sensing
Subjects:
synthetic aperture radar
automatic target recognition
pose angle estimation
deep learning
convolutional neural networks
multi-task learning
Online Access:https://www.mdpi.com/2072-4292/13/19/3939

Internet

https://www.mdpi.com/2072-4292/13/19/3939

Similar Items