Parallel Connected Generative Adversarial Network with Quadratic Operation for SAR Image Generation and Application for Classification
Thanks to the availability of large-scale data, deep Convolutional Neural Networks (CNNs) have witnessed success in various applications of computer vision. However, the performance of CNNs on Synthetic Aperture Radar (SAR) image classification is unsatisfactory due to the lack of well-labeled SAR d...
Main Authors: | Chu He, Dehui Xiong, Qingyi Zhang, Mingsheng Liao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-02-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/4/871 |
Similar Items
-
An End-To-End Bayesian Segmentation Network Based on a Generative Adversarial Network for Remote Sensing Images
by: Dehui Xiong, et al.
Published: (2020-01-01) -
Semi-Supervised Generative Adversarial Nets with Multiple Generators for SAR Image Recognition
by: Fei Gao, et al.
Published: (2018-08-01) -
K-Means Clustering Guided Generative Adversarial Networks for SAR-Optical Image Matching
by: Wen-Liang Du, et al.
Published: (2020-01-01) -
SAR-to-Optical Image Translation Based on Conditional Generative Adversarial Networks—Optimization, Opportunities and Limits
by: Mario Fuentes Reyes, et al.
Published: (2019-09-01) -
A SAR-to-Optical Image Translation Method Based on Conditional Generation Adversarial Network (cGAN)
by: Yu Li, et al.
Published: (2020-01-01)