Convolution Transformer Mixer for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Convolution Transformer Mixer for Hyperspectral Image Classification

Published:2022 Issue: Volume:19 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Zhang Junjie¹^ORCID,Meng Zhe¹^ORCID,Zhao Feng¹^ORCID,Liu Hanqiang²^ORCID,Chang Zhenhui¹^ORCID

Affiliation:

1. School of Communications and Information Engineering (School of Artificial Intelligence) and School of Cyberspace Security, Xi’an University of Posts and Telecommunications, Xi’an, China

2. School of Computer Science, Shaanxi Normal University, Xi’an, China

Funder

National Natural Science Foundation of China

Natural Science Basic Research Plan in Shaanxi Province of China

Fundamental Research Funds for the Central Universities

Scientific Research Program Funded by Shaanxi Provincial Education Department Program

New Star Team of Xi’an University of Posts and Telecommunications

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/9651998/09903640.pdf?arnumber=9903640

Reference18 articles.

1. Deep&Dense Convolutional Neural Network for Hyperspectral Image Classification

2. Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification

3. Residual Spectral–Spatial Attention Network for Hyperspectral Image Classification

4. Deformable Convolutional Neural Networks for Hyperspectral Image Classification

5. Mobile-Former: Bridging MobileNet and Transformer

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