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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Détails bibliographiques
Auteurs principaux: Bin Yang, Shunshi Hu, Qiandong Guo, Danfeng Hong
Format: Artigo
Langue:Inglês
Publié: IEEE 2022-01-01
Collection:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Sujets:
Classification
convolutional neural network (CNN)
generalized feature extraction network (GFEN)
hyperspectral imaging
spectral projection
transfer learning
Accès en ligne:https://ieeexplore.ieee.org/document/9775658/
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