3 citations · 6 across the 3 of their papers we have counts for
3 papers
eess.IV2024★ 2 cited
SpecSAR-Former: A Lightweight Transformer-based Network for Global LULC Mapping Using Integrated Sentinel-1 and Sentinel-2
Hao Yu, Gen Li, Haoyu Liu +3
Recent approaches in remote sensing have increasingly focused on multimodal data, driven by the growing availability of diverse earth observation datasets. Integrating complementar…
cs.CV2023★ 1 cited
Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data
Man Chen, Wenquan Dong, Hao Yu +5
The integration of multisource remote sensing data and deep learning models offers new possibilities for accurately mapping high spatial resolution forest height. We found that GED…
cs.CV2023★ 3 cited
Forest aboveground biomass estimation using GEDI and earth observation data through attention-based deep learning
Wenquan Dong, Edward T. A. Mitchard, Hao Yu +2
Accurate quantification of forest aboveground biomass (AGB) is critical for understanding carbon accounting in the context of climate change. In this study, we presented a novel at…