Transformer-Driven Active Transfer Learning for Cross-Hyperspectral Image Classification

Transformer-Driven Active Transfer Learning for Cross-Hyperspectral Image Classification

Hyperspectral image (HSI) classification presents inherent challenges due to high spectral dimensionality, significant domain shifts, and limited availability of labeled data. To address these issues, we propose a novel Active Transfer Learning (ATL) framework built upon a spatial-spectral transform...

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Bibliographic Details
Main Authors: Muhammad Ahmad, Francesco Mauro, Rana Aamir Raza, Manuel Mazzara, Salvatore Distefano, Adil Mehmood Khan, Silvia Liberata Ullo
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Hyperspectral image (HSI) classification
active learning (AL)
hybrid query function
transfer learning
spatial-spectral transformer (SST)
Online Access:https://ieeexplore.ieee.org/document/11105087/
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https://ieeexplore.ieee.org/document/11105087/

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