Title :
Subsurface targets detection with Shannon entropy
Author :
Bian, Xiaolin ; Shao, Yun ; Gong, Huaze ; Zhang, Fengli ; Xie, Chou
Author_Institution :
Inst. of Remote Sensing Applic., Beijing, China
Abstract :
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.
Keywords :
buried object detection; electromagnetic wave polarisation; electromagnetic wave scattering; entropy; feature extraction; radar imaging; radar polarimetry; Lop Nur Palaeo-lacustrine basin; Shannon entropy; buried object detection; drying dielectric layer; image feature extraction; polarimetric SAR; polarization decomposition; scattering mechanism; subsurface target detection; synthetic aperture radar; Ear; Entropy; Object detection; Rough surfaces; Scattering; Surface roughness; Synthetic aperture radar; Lop Nur; SAR; Shannon entropy; polarimetric parameters; subsurface targets detection;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049390