Radar observations of strong subsurface scatterers. A model of backscattering

Калмыков, А. А.; Fuks, I. M.; Scherbinin, I.; Tsymbal, V. N.; Matveev, A. Ya.; Гавриленко, А.С.; Fix, Mees; Freilikher, V.

doi:10.1109/igarss.1995.524001

Cited by 10 publications

(4 citation statements)

References 1 publication

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“…For the first medium it was found that angular behavior of F is much more complicated than as described by Kalmykov et al [1995] and Fuks [1998]. These authors predicted the monotonic increase of F with incident angle for horizontal polarization and a single minimum of F at the Brewster angle for vertical polarization.…”

Section: Numerical Analysis and Discussionmentioning

confidence: 92%

Scattering properties of a statistically rough interface inside a multilayered medium

Yarovoy¹,

Jongh²,

Ligthart³

2000

Radio Science

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Abstract. In this paper, electromagnetic wave scattering from a slightly rough interface inside a stratified medium is considered. A three-layer model for the medium is chosen, which allows us to investigate both possible cases of the medium's stratification: above and below the rough interface. It also is a simple but realistic model for the ground, in which the upper layer is thought to be vegetation or snow, while the middle layer and the homogeneous half-space below it represent the ground itself. The vegetation-ground interface is considered to be rough with statistically homogeneous corrugation, while the two other interfaces are flat. The backscatter coefficients for vertically and horizontally polarized waves are found in the framework of the small perturbation method combined with the Green function formalism. Such an approach allows one to consider arbitrary layers and, in this respect, go far beyond the radiative transfer theory. The influence of the stratification of the medium above and below the rough interface on the scattered field is analyzed numerically. Qualitatively new angular and frequency dependencies of backscattering are found. It is shown that in the case of small ohmic losses stratification of a medium can cause the deviation of backscattering up to 20 dB.

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Section: Numerical Analysis and Discussionmentioning

confidence: 92%

Scattering properties of a statistically rough interface inside a multilayered medium

Yarovoy¹,

Jongh²,

Ligthart³

2000

Radio Science

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“…Several modeling methods have been reported, with varying degrees of success [1]- [3]. Here, we apply the semianalytic mode matching (SAMM) algorithm to this problem using a realistic geometry and validate the simulated electromagnetic scattering with finite-difference frequency domain (FDFD) methods [4].…”

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confidence: 99%

The Semianalytic Mode Matching Algorithm for GPR Wave Scattering From Multiple Complex Objects Buried in a Rough Lossy Dielectric Half-Space

Morgenthaler

Rappaport

2011

IEEE Trans. Geosci. Remote Sensing

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The semianalytic mode matching (SAMM) algorithm is a quick and efficient computational method that models wave scattering from multiple objects in half-spaces. This algorithm relies heavily on appropriate choices of coordinate scattering centers (CSCs) for various modal expansions. Here, SAMM is used to simulate scattering from irregularly shaped 2-D lossy objects embedded in realistic half-space media with rough ground surfaces. Because the CSC locations for complex scatterers are much more dependent on object or interface geometry than frequency and are independent of the dielectric contrast between scatterer and background, it is worthwhile to carefully analyze particular scattering object shapes and store the optimal CSC locations for future use. In addition, scattering from multiple targets buried beneath rough ground surfaces can be constructed from simpler simulations of the individual targets taken separately, where combining these simpler simulations correctly can increase robustness in large SAMM simulations. Excellent results are found by comparing 2-D SAMM with 2-D finite-difference frequency domain for multiple scattering objects on the order of a fraction to several wavelengths in size located within rough half-space dielectric backgrounds.

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“…7= K" (22) Equation (21) takes the simpler form for the specific case of a perfectly conducting substrate when r x = 1:…”

Section: + 2rl[(l-a) 2 + 2a(3-a)]}(l-aymentioning

confidence: 99%

“…During the last several decades this problem again has received attention owing to numerous applications in modern optics and microelectronics [9][10][11][12][13][14][15][16] and radio-physical methods of solving remote sensing problems for natural layered media. [17][18][19][20][21][22][23][24][25] For scattering of light from a rough dielectric film on a reflecting substrate, there are three main kinds of trajectories that give rise to (a) Quetelet fringes, (b) Selenyi fringes, and (c) enhanced backscattering. A typical Quetelet ring pattern consists of a series of elongated, colored diffuse rings.…”

Section: Introductionmentioning

confidence: 99%

Grazing angle enhanced backscattering from a dielectric film on a reflecting metal substrate

Fuks

Ciftan

2004

Opt. Eng

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Public Reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Abstract. We have recently observed several features from a randomly rough dielectric film on a reflecting metal substrate including a change in the spectrum of light at the satellite peaks, the high-order correlation, and enhanced backscattering from the grazing angle. In this paper, we focus on the enhanced backscattering phenomena. The backscattering signal at small grazing angles is very important for vehicle re-entrance and subsurface radar sensing applications. Recently, we performed an experimental study of far-field scattering at small grazing angles, especially enhanced backscattering at grazing angles. For a randomly weak, rough dielectric film on a reflecting metal substrate, a much larger enhanced backscattering peak is measured. Experimental results are compared with theoretical predictions based on a two-scale surface roughness scattering model.

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Radar observations of strong subsurface scatterers. A model of backscattering

Cited by 10 publications

References 1 publication

Scattering properties of a statistically rough interface inside a multilayered medium

Scattering properties of a statistically rough interface inside a multilayered medium

The Semianalytic Mode Matching Algorithm for GPR Wave Scattering From Multiple Complex Objects Buried in a Rough Lossy Dielectric Half-Space

Grazing angle enhanced backscattering from a dielectric film on a reflecting metal substrate

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