Remote Sensing Data Augmentation Through Adversarial Training
The lack of remote sensing images and poor quality limit the performance improvement of follow-up research such as remote sensing interpretation. In this article, a generative adversarial network (GAN) is proposed for data augmentation of remote sensing images abstracted from Jiangxi and Anhui Provi...
Main Authors: | Ning Lv, Hongxiang Ma, Chen Chen, Qingqi Pei, Yang Zhou, Fenglin Xiao, Ji Li |
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Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
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Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9531488/ |
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