Semi-Supervised DEGAN for Optical High-Resolution Remote Sensing Image Scene Classification

Semi-Supervised DEGAN for Optical High-Resolution Remote Sensing Image Scene Classification

Semi-supervised methods have made remarkable achievements via utilizing unlabeled samples for optical high-resolution remote sensing scene classification. However, the labeled data cannot be effectively combined with unlabeled data in the existing semi-supervised methods during model training. To ad...

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Bibliographic Details
Main Authors: Jia Li, Yujia Liao, Junjie Zhang, Dan Zeng, Xiaoliang Qian
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
semi-supervised scene classification
optical high-resolution remote sensing image
Generative Adversarial Network
Diversity Enhanced Network
Improved Fisher Kernel
feature fusion
Online Access:https://www.mdpi.com/2072-4292/14/17/4418

Internet

https://www.mdpi.com/2072-4292/14/17/4418

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