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Xiao-Xiang Zhu

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#machine learning Preprint Aug 2026

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. · 0 citations
Open access 2026

Large-Scale Polygonal Building Mapping From 3–5 m Medium-Resolution Satellite Imagery

Mapping buildings in vectorized form from remote sensing imagery is a key task for digitalizing and monitoring our planet. While most existing methods rely on sub-meter-resolution aerial or satellite imagery to extract fine-grained building polygons, these sources suffer from long revisit intervals, high cost, and inco...

Fahong Zhang, Xiao-Xiang Zhu · 0 citations

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