MTSR: Mamba-Transformer Super-Resolution Model for Hyperspectral Images

Deep learning-based methods, particularly Transformer-based approaches, have made remarkable achievements in hyperspectral image super-resolution (SR) tasks. However, due to the complex terrestrial object structures and rich spatial-spectral details in hyperspectral images (HSI), solely using the Tr...

詳細記述

書誌詳細

出版年:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
主要な著者:	Zhihua Xie, Guohua Miao, Haolin Chang
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2025-01-01
主題:	Attention mechanisms hyperspectral image (HSI) mamba super-resolution (SR) reconstruction transformer
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11153843/