<italic>DRL</italic>-GAN: Dual-Stream Representation Learning GAN for Low-Resolution Image Classification in UAV Applications

<italic>DRL</italic>-GAN: Dual-Stream Representation Learning GAN for Low-Resolution Image Classification in UAV Applications

Identifying tiny objects from extremely low-resolution (LR) unmanned-aerial-vehicle-based remote sensing images is generally considered as a very challenging task, because of very limited information in the object areas. In recent years, there have been very limited attempts to approach this problem...

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Bibliographic Details
Main Authors: Yue Xi, Wenjing Jia, Jiangbin Zheng, Xiaochen Fan, Yefan Xie, Jinchang Ren, Xiangjian He
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural networks (CNNs)
generative adversarial networks
low-resolution (LR) image classification
representation learning
unmanned aerial vehicle (UAV)-based remote sensing
Online Access:https://ieeexplore.ieee.org/document/9286580/

Internet

https://ieeexplore.ieee.org/document/9286580/

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