A Cross-Attention-Based Multi-Information Fusion Transformer for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

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A Cross-Attention-Based Multi-Information Fusion Transformer for Hyperspectral Image Classification

Published:2024 Issue: Volume:17 Page:13358-13375
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Yang Jinghui¹^ORCID,Li Anqi¹,Qian Jinxi²,Qin Jia¹,Wang Liguo³^ORCID

Affiliation:

1. School of Information Engineering, China University of Geosciences (Beijing), Beijing, China

2. Institute of Telecommunication and Navigation Satellites, China Academy of Space Technology, Beijing, China

3. College of Information and Communication Engineering, Dalian Minzu University, Dalian, China

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10601215.pdf?arnumber=10601215

Reference61 articles.

1. A Review of Spatial Enhancement of Hyperspectral Remote Sensing Imaging Techniques

2. Deep learning algorithms for hyperspectral remote sensing classifications: an applied review

3. Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review

4. A review of machine learning in processing remote sensing data for mineral exploration

5. Skin Complications of Diabetes Mellitus Revealed by Polarized Hyperspectral Imaging and Machine Learning

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