SCAT: Shift Channel Attention Transformer for Remote Sensing Image Super-Resolution

The quadratic increase in computational complexity caused by global receptive fields has been a persistent challenge when applying Transformer-based methods in remote sensing image super-resolution (RSISR), involving high-resolution images. Channel attention (CA)-based Transformers offer an efficien...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Yingdong Kang, Xuemin Zhang, Shaoju Wang, Guang Jin
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	IEEE 2025-01-01
Цуврал:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Нөхцлүүд:	Deep learning optical remote sensing super-resolution (SR) transformers
Онлайн хандалт:	https://ieeexplore.ieee.org/document/10886926/
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!