19 citations · 21 across the 5 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2025
A Spatial-Spectral-Frequency Interactive Network for Multimodal Remote Sensing Classification
Hao Liu, Yunhao Gao, Wei Li +3
Deep learning-based methods have achieved significant success in remote sensing Earth observation data analysis. Numerous feature fusion techniques address multimodal remote sensin…
cs.CV2025
Balanced Diffusion-Guided Fusion for Multimodal Remote Sensing Classification
Hao Liu, Yongjie Zheng, Yuhan Kang +3
Deep learning-based techniques for the analysis of multimodal remote sensing data have become popular due to their ability to effectively integrate complementary spatial, spectral,…
cs.CV2022★ 1 cited
Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification
Mingyang Zhang, Ziqi Di, Maoguo Gong +3
In recent years, research on hyperspectral image (HSI) classification has continuous progress on introducing deep network models, and recently the graph convolutional network (GCN)…