Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification

Published:2022 Issue: Volume:60 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Xue Xizhe¹^ORCID,Zhang Haokui²^ORCID,Fang Bei³,Bai Zongwen⁴^ORCID,Li Ying¹^ORCID

Affiliation:

1. School of Computer Science, the National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, and the Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, Northwestern Polytechnical University, Xi’an, China

2. Intellifusion, Shenzhen, China

3. Key Laboratory of Modern Teaching Technology, Ministry of Education, Shaanxi Normal University, Xi’an, China

4. School of Physics and Electronic Information, Yan’an University, Yan’an, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shaanxi Province

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09791305.pdf?arnumber=9791305

Reference50 articles.

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5. Learning Transferable Architectures for Scalable Image Recognition

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