most citedSpecSAR-Former: A Lightweight Transformer-based Network for Global LULC Mapping Using Integrated Sentinel-1 and Sentinel-2

2 citations · 3 across the 2 of their papers we have counts for

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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…