Cross-Modal Hierarchical Fusion for from Multi-Sensor Ground Observation
arXiv:2606.30647v1 Announce Type: new Abstract: Dense volumetric reconstruction of cloud microphysical fields from sparse ground-based instruments remains an open problem, largely because the available measurements are heterogeneous in both modality and spatial coverage. We present AtmoFuseNet, a framework that fuses multi-view sky camera imagery with millimeter-wave cloud radar and ceilometer observations to produce 4D (three spatial dimensions plus time) estimates of cloud state and wind. The ...
arXiv cs.CV
·Xinze Zhang
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