HybridATNet: Multi-Scale Attention and Hybrid Feature Refinement Network for Remote Sensing Image Super-Resolution

Remote sensing image super-resolution faces significant challenges, including detail loss, sensor noise, and atmospheric interference that compromise image quality for critical applications. Current deep learning approaches struggle with three key limitations: insufficient multi-scale feature extrac...

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Hlavní autoři:	Naveed Sultan, Watchara Ruangsang, Supavadee Aramvith
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	Remote sensing super-resolution attention transformers multi-scale features
On-line přístup:	https://ieeexplore.ieee.org/document/11153914/
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