Deep transformer and few‐shot learning for hyperspectral image classification

Deep transformer and few‐shot learning for hyperspectral image classification

Abstract Recently, deep learning has achieved considerable results in the hyperspectral image (HSI) classification. However, most available deep networks require ample and authentic samples to better train the models, which is expensive and inefficient in practical tasks. Existing few‐shot learning...

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Bibliographic Details
Main Authors: Qiong Ran, Yonghao Zhou, Danfeng Hong, Meiqiao Bi, Li Ni, Xuan Li, Muhammad Ahmad
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
deep learning
feature extraction
hyperspectral
image classification
Online Access:https://doi.org/10.1049/cit2.12181

Internet

https://doi.org/10.1049/cit2.12181

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