Subsurface targets detection with Shannon entropy

Synthetic Aperture Radar (SAR) has the penetration of the drying dielectric layer, which can detect subsurface targets and buried characteristics. It took fully polarimetric SAR datasets of the subsurface in Lop Nur Palaeo-lacustrine basin for example to compute Shannon entropy parameter and analyze its image features, and then compare those with the other polarization parameters and polarization decomposition results from scattering mechanism and image features. The results show that the introduced Shannon entropy can describe the actual situation and express the image features more obvious in study area, so it has an important reference value for subsurface targets detection and buried characteristics extraction.