Local Auxiliary Spatial–Spectral Decoupling Transformer Network for Cross-Scene Hyperspectral Image Classification

The feature-level domain alignment based on deep learning techniques has greatly improved the performance of unsupervised domain adaptation (UDA) for hyperspectral image (HSI) classification. However, most of these methods leverage convolutional neural networks to capture local features, overlooking...

書誌詳細
出版年:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
主要な著者:	Qiusheng Chen, Zhuoqun Fang, Zhaokui Li, Qian Du, Shizhuo Deng, Tong Jia, Dongyue Chen
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2025-01-01
主題:	Hyperspectral image (HSI) classification transformer unsupervised domain adaptation (UDA)
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11023211/

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