Proposes a prior-free anomaly detection framework for sub-canopy UAV multispectral point clouds that estimates solar angle via inverse optimization and uses illumination-consistent background dictionaries to separate targets from shadows.
A Fast Hyperspectral Anomaly Detection Algorithm Based on Greedy Bilateral Smoothing and Extended Multi-Attribute Profile,
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Illumination-Invariant Anomaly Detection for Sub-Canopy UAV Multispectral Point Clouds
Proposes a prior-free anomaly detection framework for sub-canopy UAV multispectral point clouds that estimates solar angle via inverse optimization and uses illumination-consistent background dictionaries to separate targets from shadows.