This research seeks to design a system that is capable of
performing automated target recognition tasks using radar data
to detect problem areas on earthen levees. Polarimetric SAR data
is effective for detecting such phenomena. In this research, we
analyze the ability of different polarization channels in detecting
landslides with different frequency bands of synthetic aperture
radar data using anomaly detection algorithms.