Rotation-Invariant Attention Network for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Rotation-Invariant Attention Network for Hyperspectral Image Classification

Published:2022 Issue: Volume:31 Page:4251-4265
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Zheng Xiangtao¹^ORCID,Sun Hao¹^ORCID,Lu Xiaoqiang¹^ORCID,Xie Wei²

Affiliation:

1. Key Laboratory of Spectral Imaging Technology CAS, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China

2. Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, the National Language Resources Monitoring and Research Center for Network Media, and the School of Computer, Central China Normal University, Wuhan, China

Funder

National Science Fund for Distinguished Young Scholars

Innovation Capability Support Program of Shaanxi

Chinese Association for Artificial Intelligence (CAAI)-Huawei Mind-Spore Open Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9626658/09785505.pdf?arnumber=9785505

Reference63 articles.

1. Hyperspectral Image Classification With Deep Feature Fusion Network

2. Going Deeper With Contextual CNN for Hyperspectral Image Classification

3. Convolutional Recurrent Neural Networks forHyperspectral Data Classification

4. Cascaded Recurrent Neural Networks for Hyperspectral Image Classification

5. Deep Learning-Based Classification of Hyperspectral Data

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