3 citations · 4 across the 4 of their papers we have counts for
4 papers
Frequency and Edge-Guided Segment Anything Model for Remote Sensing Image Semantic Segmentation
Feng Gao, Zizhe Pan, Haoting Wang +4
Remote sensing image semantic segmentation (RSISS) has attracted significant attention due to the growing demand for fine-grained land cover information. The Segment Anything Model…
Wavelet-Assisted Mamba for Satellite-Derived Sea Surface Temperature Super-Resolution
Wankun Chen, Feng Gao, Yanhai Gan +3
Sea surface temperature (SST) is an essential indicator of global climate change and one of the most intuitive factors reflecting ocean conditions. Obtaining high-resolution SST da…
Adaptive Frequency Enhancement Network for Remote Sensing Image Semantic Segmentation
Feng Gao, Miao Fu, Jingchao Cao +2
Semantic segmentation of high-resolution remote sensing images plays a crucial role in land-use monitoring and urban planning. Recent remarkable progress in deep learning-based met…
RAUNE-Net: A Residual and Attention-Driven Underwater Image Enhancement Method
Wangzhen Peng, Chenghao Zhou, Runze Hu +2
Underwater image enhancement (UIE) poses challenges due to distinctive properties of the underwater environment, including low contrast, high turbidity, visual blurriness, and colo…