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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Jiaao Li, Qunbo Lv, Wenjian Zhang, Baoyu Zhu, Guiyu Zhang, Zheng Tan
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2023-08-01
Sarja:Remote Sensing
Aiheet:
deep learning
remote sensing
multi-attention
Transformer
multi-scale
multi-image super-resolution
Linkit:https://www.mdpi.com/2072-4292/15/17/4183

Internet

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

Samankaltaisia teoksia