3 citations · 5 across the 21 of their papers we have counts for
5 papers · 2 filters
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…
Prototype-Based Information Compensation Network for Multi-Source Remote Sensing Data Classification
Feng Gao, Sheng Liu, Chuanzheng Gong +4
Multi-source remote sensing data joint classification aims to provide accuracy and reliability of land cover classification by leveraging the complementary information from multipl…
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…
Frequency-Compensated Network for Daily Arctic Sea Ice Concentration Prediction
Jialiang Zhang, Feng Gao, Yanhai Gan +2
Accurately forecasting sea ice concentration (SIC) in the Arctic is critical to global ecosystem health and navigation safety. However, current methods still is confronted with two…
Dynamic Cross-Modal Feature Interaction Network for Hyperspectral and LiDAR Data Classification
Junyan Lin, Feng Gap, Lin Qi +3
Hyperspectral image (HSI) and LiDAR data joint classification is a challenging task. Existing multi-source remote sensing data classification methods often rely on human-designed f…