Improved SinGAN Integrated with an Attentional Mechanism for Remote Sensing Image Classification

Improved SinGAN Integrated with an Attentional Mechanism for Remote Sensing Image Classification

Deep learning is an important research method in the remote sensing field. However, samples of remote sensing images are relatively few in real life, and those with markers are scarce. Many neural networks represented by Generative Adversarial Networks (GANs) can learn from real samples to generate...

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Bibliographic Details
Main Authors: Songwei Gu, Rui Zhang, Hongxia Luo, Mengyao Li, Huamei Feng, Xuguang Tang
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
generative adversarial network
attention mechanism
deep learning
remote sensing image
scene classification
Online Access:https://www.mdpi.com/2072-4292/13/9/1713

Internet

https://www.mdpi.com/2072-4292/13/9/1713

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