Multi-Window Fusion Spatial-Frequency Joint Self-Attention for Remote-Sensing Image Super-Resolution

Multi-Window Fusion Spatial-Frequency Joint Self-Attention for Remote-Sensing Image Super-Resolution

Remote-sensing images typically feature large dimensions and contain repeated texture patterns. To effectively capture finer details and encode comprehensive information, feature-extraction networks with larger receptive fields are essential for remote-sensing image super-resolution tasks. However,...

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Bibliographic Details
Main Authors: Ziang Li, Wen Lu, Zhaoyang Wang, Jian Hu, Zeming Zhang, Lihuo He
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Remote Sensing
Subjects:
remote sensing
super-resolution
spatial-frequency self-attention
multi-window fusion
Online Access:https://www.mdpi.com/2072-4292/16/19/3695

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https://www.mdpi.com/2072-4292/16/19/3695

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