Convolutional Transformer-Based Few-Shot Learning for Cross-Domain Hyperspectral Image Classification

Convolutional Transformer-Based Few-Shot Learning for Cross-Domain Hyperspectral Image Classification

In cross-domain hyperspectral image (HSI) classification, the labeled samples of the target domain are very limited, and it is a worthy attention to obtain sufficient class information from the source domain to categorize the target domain classes (both the same and new unseen classes). This article...

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Bibliographic Details
Main Authors: Yishu Peng, Yaru Liu, Bing Tu, Yuwen Zhang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional transformer (CT)
cross-domain
few-shot learning (FSL)
hyperspectral image (HSI)
scene consistency
Online Access:https://ieeexplore.ieee.org/document/10006890/

Internet

https://ieeexplore.ieee.org/document/10006890/

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