Multisource Domain Transfer Learning Based on Spectral Projections for Hyperspectral Image Classification

Hyperspectral image classification is an important topic for hyperspectral remote sensing with various applications. Hyperspectral image classification accuracy. It has been greatly improved with the introduction of deep neural networks, while the idea of transfer learning provides an opportunity to...

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Главные авторы: Bin Yang, Shunshi Hu, Qiandong Guo, Danfeng Hong
Формат: Artigo
Язык:Inglês
Опубликовано: IEEE 2022-01-01
Серии:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Предметы:
Classification
convolutional neural network (CNN)
generalized feature extraction network (GFEN)
hyperspectral imaging
spectral projection
transfer learning
Online-ссылка:https://ieeexplore.ieee.org/document/9775658/
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