176 citations · 239 across the 5 of their papers we have counts for
6 papers
PAD: Phase-Amplitude Decoupling Fusion for Multi-Modal Land Cover Classification
Huiling Zheng, Xian Zhong, Bin Liu +3
The fusion of Synthetic Aperture Radar (SAR) and RGB imagery for land cover classification remains challenging due to modality heterogeneity and underexploited spectral complementa…
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…
Frequency-Assisted Mamba for Remote Sensing Image Super-Resolution
Yi Xiao, Qiangqiang Yuan, Kui Jiang +3
Recent progress in remote sensing image (RSI) super-resolution (SR) has exhibited remarkable performance using deep neural networks, e.g., Convolutional Neural Networks and Transfo…
Deep Blind Super-Resolution for Satellite Video
Yi Xiao, Qiangqiang Yuan, Qiang Zhang +1
Recent efforts have witnessed remarkable progress in Satellite Video Super-Resolution (SVSR). However, most SVSR methods usually assume the degradation is fixed and known, e.g., bi…
EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution
Yi Xiao, Qiangqiang Yuan, Kui Jiang +3
Recently, convolutional networks have achieved remarkable development in remote sensing image Super-Resoltuion (SR) by minimizing the regression objectives, e.g., MSE loss. However…
Local-Global Temporal Difference Learning for Satellite Video Super-Resolution
Yi Xiao, Qiangqiang Yuan, Kui Jiang +4
Optical-flow-based and kernel-based approaches have been extensively explored for temporal compensation in satellite Video Super-Resolution (VSR). However, these techniques are les…