Effects of Induced Field Rotation From Rough Surface on H-Alpha Decomposition of Full-Polarimetric GPR
- 2 February 2021
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Geoscience and Remote Sensing
- Vol. 59 (11), 9192-9208
- https://doi.org/10.1109/tgrs.2021.3052547
Abstract
The full-polarimetric ground-penetrating radar (FP-GPR) can obtain the polarimetric attributes of targets and achieve more accurate identification compared with traditional GPRs. However, in most cases, the polarimetric signals collected by GPRs are not only from the targets but also from the ground surface. According to the classical Fresnel formulas, the polarized directions of the waves will change after transmissions due to the difference in the transmission coefficients between horizontally and vertically polarized waves. This effect, called induced field rotation (IFR), will interfere with the acquisition of polarimetric attributes and also exists in the field measurements on a rough surface. In this study, we have derived the association between the measured FP-GPR data and transmission coefficients of the rough surface provided by the small perturbation method (SPM). The effects of IFRs from the rough surface on H-Alpha decomposition are analyzed later. The results show that the parameters of the rough surface will affect the values of components in the scattering matrix, but will not change the matrix and H-Alpha decomposition result; the incident angle and relative permittivity play main roles; for the H-Alpha decomposition results of three typical targets, the flat and dihedral are little influenced by IFRs, but the cylinder is seriously affected; simultaneously, a template for discriminating whether the calibration for H-Alpha decomposition is necessary is established. Both numerical and experimental tests validate the conclusions. Finally, a novel application strategy of H-Alpha decomposition is proposed, which has taken IFR from the rough surface into considerations.Keywords
Funding Information
- National Key Research and Development Program of China (2018YFC1503705)
- Key Laboratory of Geo-Exploration Instruments, Ministry of Education
- Fundamental Research Funds for the Central Universities, Graduate Innovation Fund of Jilin University (101832020CX226)
- Technology Development Program of Jilin Province (20180101091JC)
This publication has 27 references indexed in Scilit:
- Combination of H-Alpha Decomposition and Migration for Enhancing Subsurface Target Classification of GPRIEEE Transactions on Geoscience and Remote Sensing, 2015
- Electromagnetic Scattering From 3D Layered Structures With Randomly Rough Interfaces: Analysis With the Small Perturbation Method and the Small Slope ApproximationIEEE Transactions on Antennas and Propagation, 2014
- 3D polarimetric GPR coherency attributes and full-waveform inversion of transmission data for characterizing fractured rockGeophysics, 2009
- Discrimination of UXO in soil using broadband polarimetric GPR backscatterIEEE Transactions on Geoscience and Remote Sensing, 2001
- Subsurface fracture measurement with polarimetric borehole radarIEEE Transactions on Geoscience and Remote Sensing, 1999
- Unsupervised classification using polarimetric decomposition and the complex Wishart classifierIEEE Transactions on Geoscience and Remote Sensing, 1999
- A three-component scattering model for polarimetric SAR dataIEEE Transactions on Geoscience and Remote Sensing, 1998
- An entropy based classification scheme for land applications of polarimetric SARIEEE Transactions on Geoscience and Remote Sensing, 1997
- A review of target decomposition theorems in radar polarimetryIEEE Transactions on Geoscience and Remote Sensing, 1996
- Computer rendering of stochastic modelsCommunications of the ACM, 1982