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cs.CV2026
CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration
Zaiyan Zhang, Qiangqiang Yuan, Jie Li +5
Remote sensing images acquired by unmanned aerial vehicles (UAVs) and satellites are often degraded by adverse weather, illumination variation, and imaging artifacts, which may co-…
cs.CV2025
Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networks
Yi Xiao, Qiangqiang Yuan, Kui Jiang +5
Spiking neural networks (SNNs) are emerging as a promising alternative to traditional artificial neural networks (ANNs), offering biological plausibility and energy efficiency. Des…
cs.CV2024
Super-Resolution for Remote Sensing Imagery via the Coupling of a Variational Model and Deep Learning
Jing Sun, Huanfeng Shen, Qiangqiang Yuan +1
Image super-resolution (SR) is an effective way to enhance the spatial resolution and detail information of remote sensing images, to obtain a superior visual quality. As SR is sev…