AI RESEARCH
Uncertainty Quantification Framework for Aerial and UAV Photogrammetry through Error Propagation
arXiv CS.CV
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ArXi:2507.13486v2 Announce Type: replace Uncertainty quantification of the photogrammetry process is essential for providing per-point accuracy credentials of the point clouds. Unlike airborne LiDAR, whose accuracy generally remains consistent with objects with varying geometric complexity, the accuracy of photogrammetric point clouds is rather object/scene-dependent, as it relies on algorithm-derived measurements.