Variational Generative Adversarial Network with Crossed Spatial and Spectral Interactions for Hyperspectral Image Classification

Variational Generative Adversarial Network with Crossed Spatial and Spectral Interactions for Hyperspectral Image Classification

Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs) have been widely used in hyperspectral image classification (HSIC) tasks. However, the generated HSI virtual samples by VAEs are often ambiguous, and GANs are prone to the mode collapse, which lead the poor generalization abi...

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Bibliographic Details
Main Authors: Zhongwei Li, Xue Zhu, Ziqi Xin, Fangming Guo, Xingshuai Cui, Leiquan Wang
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Remote Sensing
Subjects:
hyperspectral image classification
variational autoencoder
generative adversarial network
crossed spatial and spectral interactions
Online Access:https://www.mdpi.com/2072-4292/13/16/3131

Internet

https://www.mdpi.com/2072-4292/13/16/3131

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