Physics-Aware Deep Learning Reconstructs Ground Contamination from Sparse UAV Radiation Measurements over the Fukushima Ukedo Basin Without Field Training
Aerial radiation surveys produce sparse trajectories that must be reconstructed into contamination maps. Conventional aerial interpolators—inverse distance weighting (IDW) and ordinary kriging—treat observations as local ground samples, ignoring that each measurement integrates radiation over an extended footprint A(x,...