Multi-Attention Multi-Image Super-Resolution Transformer (MAST) for Remote Sensing

Multi-Attention Multi-Image Super-Resolution Transformer (MAST) for Remote Sensing

Deep-learning-driven multi-image super-resolution (MISR) reconstruction techniques have significant application value in the field of aerospace remote sensing. In particular, Transformer-based models have shown outstanding performance in super-resolution tasks. However, current MISR models have some...

書誌詳細
主要な著者:	Jiaao Li, Qunbo Lv, Wenjian Zhang, Baoyu Zhu, Guiyu Zhang, Zheng Tan
フォーマット:	論文
言語:	English
出版事項:	MDPI AG 2023-08-01
シリーズ:	Remote Sensing
主題:	deep learning remote sensing multi-attention Transformer multi-scale multi-image super-resolution
オンライン･アクセス:	https://www.mdpi.com/2072-4292/15/17/4183

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