Nearest Neighbor Anomaly Detector for Passively Augmented LADAR

Nearest neighbor anomaly detection is applied to polarimetric thermal imagery to improve the data collection timeline of scanning laser detection and ranging (LADAR) remote sensing applications. Multiple algorithm variations are explored to improve target-clutter discrimination of man-made objects for cueing a passively augmented LADAR architecture.