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...

Detaylı Bibliyografya
Asıl Yazarlar:	Jiaao Li, Qunbo Lv, Wenjian Zhang, Baoyu Zhu, Guiyu Zhang, Zheng Tan
Materyal Türü:	Makale
Dil:	English
Baskı/Yayın Bilgisi:	MDPI AG 2023-08-01
Seri Bilgileri:	Remote Sensing
Konular:	deep learning remote sensing multi-attention Transformer multi-scale multi-image super-resolution
Online Erişim:	https://www.mdpi.com/2072-4292/15/17/4183

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