Deep Evidential Regression for Sparse Forest Height Estimation from Multimodal Satellite Imagery
The proposed Deep Evidential Regression for forest height estimation on the TreeUQ benchmark, a large-scale dataset designed for the joint estimation of tree count and average tree height at 10 m resolution, achieves predictive performance comparable to a deterministic U-Net while additionally providing well-calibrated...
Laura Bader, M. Ahmed, Xiao-Xiang Zhu et al.
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