Hyperspectral Image Classification Based on Multibranch Attention Transformer Networks-Reference-Cited by-同舟云学术

Hyperspectral Image Classification Based on Multibranch Attention Transformer Networks

Published:2022 Issue: Volume:60 Page:1-17
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Bai Jing¹^ORCID,Wen Zheng¹^ORCID,Xiao Zhu²^ORCID,Ye Fawang³,Zhu Yongdong⁴^ORCID,Alazab Mamoun⁵^ORCID,Jiao Licheng¹^ORCID

Affiliation:

1. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China

2. College of Computer Science and Electronics Engineering, Hunan University, Changsha, China

3. National Key Laboratory of Remote Sensing Information and Imagery Analysis, Beijing Research Institute of Uranium Geology, Beijing, China

4. Zhejiang Laboratory, Hangzhou, China

5. College of Engineering, IT and Environment, Charles Darwin University, Darwin, NT, Australia

Funder

Key Research and Development Program of Shaanxi

National Natural Science Foundation of China

Key Research and Development Project of Hunan Province of China

Funding Project of Zhejiang Laboratory

Hunan Natural Science Foundation

Science and Technology Project of Hunan Provincial Water Resources Department

Project of State Key Laboratory (SKL) of Remote Sensing Information and Image Analysis Technology

Scientific Research Project of Hunan Provincial Natural Resources Department

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09851412.pdf?arnumber=9851412

Reference51 articles.

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4. Content-Guided Convolutional Neural Network for Hyperspectral Image Classification

5. A Supervised Segmentation Network for Hyperspectral Image Classification

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