490 citations · 1.5k across the 56 of their papers we have counts for
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eess.IV2023★ 17 cited
SAWU-Net: Spatial Attention Weighted Unmixing Network for Hyperspectral Images
Lin Qi, Xuewen Qin, Feng Gao +2
Hyperspectral unmixing is a critical yet challenging task in hyperspectral image interpretation. Recently, great efforts have been made to solve the hyperspectral unmixing task via…
eess.IV2023
Multi-scale Adaptive Fusion Network for Hyperspectral Image Denoising
Haodong Pan, Feng Gao, Junyu Dong +1
Removing the noise and improving the visual quality of hyperspectral images (HSIs) is challenging in academia and industry. Great efforts have been made to leverage local, global o…
eess.IV2023★ 124 cited
Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification
Meng Wang, Feng Gao, Junyu Dong +2
The joint hyperspectral image (HSI) and LiDAR data classification aims to interpret ground objects at more detailed and precise level. Although deep learning methods have shown rem…