A Supervised Progressive Growing Generative Adversarial Network for Remote Sensing Image Scene Classification
Author:
Affiliation:
1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09713860.pdf?arnumber=9713860
Reference54 articles.
1. Generative adversarial networks;goodfellow;arXiv 1406 2661,2014
2. Deep learning in remote sensing scene classification: a data augmentation enhanced convolutional neural network framework
3. Few Shot Scene Classification in Remote Sensing using Meta-Agnostic Machine
4. Model-agnostic meta-learning for fast adaptation of deep networks;finn;Proc Int Conf Mach Learn,2017
5. Research Progress on Few-Shot Learning for Remote Sensing Image Interpretation
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