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...

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Bibliografiska uppgifter
Huvudupphovsmän: Jiaao Li, Qunbo Lv, Wenjian Zhang, Baoyu Zhu, Guiyu Zhang, Zheng Tan
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2023-08-01
Serie:Remote Sensing
Ämnen:
deep learning
remote sensing
multi-attention
Transformer
multi-scale
multi-image super-resolution
Länkar:https://www.mdpi.com/2072-4292/15/17/4183

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https://www.mdpi.com/2072-4292/15/17/4183

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