CAT: Center Attention Transformer With Stratified Spatial–Spectral Token for Hyperspectral Image Classification
Author:
Affiliation:
1. School of Astronautics, Beihang University, Beijing, China
2. Center of Remote Sensing, Nanjing Tech University, Nanjing, China
3. School of Engineering and Information Technology, University of New South Wales, Sydney, NSW, Australia
Funder
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10463068.pdf?arnumber=10463068
Reference48 articles.
1. Hyperspectral remote sensing in lithological mapping, mineral exploration, and environmental geology: an updated review
2. Hyperspectral Imaging Technology in Food and Agriculture
3. A review on hyperspectral remote sensing for homogeneous and heterogeneous forest biodiversity assessment
4. Hypersectral Imaging for Military and Security Applications: Combining Myriad Processing and Sensing Techniques
5. Classification of hyperspectral remote sensing images with support vector machines
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1. Hyperspectral Image Classification Based on Multi-Scale Convolutional Features and Multi-Attention Mechanisms;Remote Sensing;2024-06-16
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4. Spatial–Spectral Transformer With Conditional Position Encoding for Hyperspectral Image Classification;IEEE Geoscience and Remote Sensing Letters;2024
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