Attention-Based Domain Adaptation Using Residual Network for Hyperspectral Image Classification

Attention-Based Domain Adaptation Using Residual Network for Hyperspectral Image Classification

In remote sensing images, domain adaptation (DA) deals with the regions where labeling information is unknown. Typically, hand-driven features for learning a common distribution among known and unknown regions have been extensively exploited to perform the classification task in hyperspectral images...

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Bibliographic Details
Main Authors: Robiulhossain Mdrafi, Qian Du, Ali Cafer Gurbuz, Bo Tang, Li Ma, Nicolas H. Younan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Activation mapping
attention mappings
hyperspectral image (HSI)
knowledge distillation (KD)
residual network
transfer learning
Online Access:https://ieeexplore.ieee.org/document/9247118/

Internet

https://ieeexplore.ieee.org/document/9247118/

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