Illumination-Invariant Anomaly Detection for Sub-Canopy UAV Multispectral Point Clouds 事件

Illumination-Invariant Anomaly Detection for Sub-Canopy UAV Multispectral Point Clouds arXiv:2606.09111v1 Announce Type: new Abstract: Unmanned Aerial Vehicle (UAV) multispectral point clouds (MPC) provide high-dimensional spatial-spectral data for sub-canopy target detection; however, their efficacy is significantly compromised by severe illumination heterogeneity caused by vegetation shadows. To address this, we propose a prior-free anomaly detection framework capable of robustly handling lig