Electromagnetic scattering from slightly rough surfaces with inhomogeneous dielectric profiles

Remote sensing of soil moisture using microwave sensors require accurate and realistic scattering models for rough soil surfaces. In the past, much effort has been devoted to the development of scattering models for either perfectly conducting or homogeneous rough surfaces. In practice, however, the permittivity of most soil surfaces is nonuniform, particularly in depth, for which analytical solution does not exist. The variations in the permittivity of a soil medium can easily be related to its soil moisture profile and soil type using the existing empirical models. In this paper, analytical expressions for the bistatic scattering coefficients of soil surfaces with slightly rough interface and stratified permittivity profile are derived. The scattering formulation is based on a new approach where the perturbation expansion of the volumetric polarization current instead of the tangential fields is used to obtain the scattered field. Basically, the top rough layer is replaced with an equivalent polarization current and, using the volumetric integral equation in conjunction with the dyadic Green's function of the remaining stratified half-space medium, the scattering problem is formulated. Closed-form analytical expressions for the induced polarization currents to any desired order are derived, which are then used to evaluate the bistatic scattered fields up to and including the third order. The analytical solutions for the scattered fields are used to derive the complete second-order expressions for the backscattering coefficients as well as the statistics of phase difference between the scattering matrix elements. The theoretical results are shown to agree well with the backscatter measurements of rough surfaces with known dielectric profiles and roughness statistics.

[1]  Kamal Sarabandi,et al.  An empirical model and an inversion technique for radar scattering from bare soil surfaces , 1992, IEEE Trans. Geosci. Remote. Sens..

[2]  Kamal Sarabandi,et al.  Measurement and calibration of differential Mueller matrix of distributed targets , 1992 .

[3]  J. Kong,et al.  Theory of microwave remote sensing , 1985 .

[4]  F. Ulaby,et al.  Microwave Dielectric Behavior of Wet Soil-Part 1: Empirical Models and Experimental Observations , 1985, IEEE Transactions on Geoscience and Remote Sensing.

[5]  J. Kong,et al.  Theory for passive microwave remote sensing of near‐surface soil moisture , 1977 .

[6]  Kamal Sarabandi,et al.  A Convenient Technique For Polarimetric Calibration Of Radar Systems , 1990, 10th Annual International Symposium on Geoscience and Remote Sensing.

[7]  Adrian K. Fung,et al.  Backscattering from a randomly rough dielectric surface , 1992, IEEE Trans. Geosci. Remote. Sens..

[8]  Yunjin Kim,et al.  A unified perturbation expansion for surface scattering , 1992 .

[9]  K. Sarabandi Derivation of phase statistics from the Mueller matrix , 1992 .

[10]  G. S. Agarwal,et al.  Interaction of electromagnetic waves at rough dielectric surfaces , 1977 .

[11]  Ron Hartikka,et al.  Bistatic Measurement Facility User's Manual , 1994 .

[12]  M. Nieto-Vesperinas,et al.  Depolarization of electromagnetic waves scattered from slightly rough random surfaces: a study by means of the extinction theorem , 1982 .

[13]  S. Rice Reflection of electromagnetic waves from slightly rough surfaces , 1951 .

[14]  A. K. Fung,et al.  A scattering model for perfectly conducting random surfaces. I - Model development. II - Range of validity , 1987 .

[15]  P. Beckmann,et al.  The scattering of electromagnetic waves from rough surfaces , 1963 .

[16]  Akira Ishimaru,et al.  Investigation of a surface field phase perturbation technique for scattering from rough surfaces , 1985 .