S2IT: Spectral-Spatial Interactive Transformer for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

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S2IT: Spectral-Spatial Interactive Transformer for Hyperspectral Image Classification

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Wang Minhui¹^ORCID,Sun Yaxiu¹^ORCID,Xiang Jianhong¹^ORCID,Zhong Yu²^ORCID

Affiliation:

1. College of Information and Communication Engineering and the Key Laboratory of Advanced Ship Communication and Information Technology, Harbin Engineering University, Harbin, China

2. Agile and Intelligent Computing Key Laboratory of Sichuan Province, Chengdu, China

Funder

Fundamental Research Funds for the Central Universities

National Key Research and Development Program of China

National Key Laboratory of Communication Anti Jamming Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8859/10365397/10644051.pdf?arnumber=10644051

Reference20 articles.

1. CS2DT: Cross Spatial–Spectral Dense Transformer for Hyperspectral Image Classification

2. Class-Aligned and Class-Balancing Generative Domain Adaptation for Hyperspectral Image Classification

3. Adaptive Learnable Spectral–Spatial Fusion Transformer for Hyperspectral Image Classification

4. HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification

5. A Unified Multiscale Learning Framework for Hyperspectral Image Classification

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