Detects anomalies in forest Ladar data using spectral and temporal signatures.
problem Anomaly detection in cluttered scenes using Ladar data.
method Learned subspace and coefficients for co-occurring local-patterns, modified optimization scheme for subspace learning.
result Detects spectral and temporal anomalies in FW-MSL data, supports tree species classification.