Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification

Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification

Classifying hyperspectral images (HSIs) with limited samples is a challenging issue. The generative adversarial network (GAN) is a promising technique to mitigate the small sample size problem. GAN can generate samples by the competition between a generator and a discriminator. However, it is diffic...

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Bibliographic Details
Main Authors: Jie Feng, Xueliang Feng, Jiantong Chen, Xianghai Cao, Xiangrong Zhang, Licheng Jiao, Tao Yu
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Remote Sensing
Subjects:
generative adversarial networks
hyperspectral image classification
collaborative learning
hard attention module
convolutional LSTM
Online Access:https://www.mdpi.com/2072-4292/12/7/1149

Internet

https://www.mdpi.com/2072-4292/12/7/1149

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