2014
DOI: 10.1109/tap.2013.2295235
|View full text |Cite
|
Sign up to set email alerts
|

Full-Polarization Modeling of Monostatic and Bistatic Radar Scattering From a Rough Sea Surface

Abstract: Fully polarimetric radars have advantages compared to more conventional single-polarization radars when measuring ocean wave characteristics. However, the theoretical analysis of full-polarization radar scattering frequently presents a challenge. For example, the classical composite model fails to correctly predict the cross-polarization components of the normalized radar cross section (NRCS). The new version of the numerical implementation of the small slope approximation of the second order, the SSA2, is pre… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
56
0

Year Published

2014
2014
2020
2020

Publication Types

Select...
6
2

Relationship

1
7

Authors

Journals

citations
Cited by 99 publications
(70 citation statements)
references
References 39 publications
0
56
0
Order By: Relevance
“…The small-slope approximation (SSA) [25] theory consists of a basic approximation of the theory (SSA-I) and second-order corrections to it (SSA-II) and represents a systematic expansion of a scattering amplitude with respect to slopes of rough surface, which has been successfully applied to evaluate microwave scattering from rough sea surfaces [22,26]. Although SSA-I is much more efficient than SSA-II, it cannot predict the depolarization of wave scattering from rough surfaces in the plane of incidence.…”
Section: Circularly Polarized Wave Scattering Modeling Based On Ssa-imentioning
confidence: 99%
See 1 more Smart Citation
“…The small-slope approximation (SSA) [25] theory consists of a basic approximation of the theory (SSA-I) and second-order corrections to it (SSA-II) and represents a systematic expansion of a scattering amplitude with respect to slopes of rough surface, which has been successfully applied to evaluate microwave scattering from rough sea surfaces [22,26]. Although SSA-I is much more efficient than SSA-II, it cannot predict the depolarization of wave scattering from rough surfaces in the plane of incidence.…”
Section: Circularly Polarized Wave Scattering Modeling Based On Ssa-imentioning
confidence: 99%
“…The two scale model (TSM) [18][19][20][21] also known as composite surface model underestimates the cross-polarized components due to the neglect of second-order Bragg scattering. In comparison with the classical model such as SPM, KA and TSM, the modern analytical approximate model of second-order small-slope approximation (SSA-II) takes into account the mutual transformation of the two linear polarization states caused by facets tilts as well as the second-order Bragg scattering [22], and thus can predict the depolarized scattering from rough sea surface both in and outside the plane of incidence.…”
Section: Introductionmentioning
confidence: 99%
“…Active-passive soil moisture estimation algorithm [4], polarization features [5], [6], fast and efficient numerical techniques [7]- [9], semi-analytical methods [10], low frequency analytical derivations [3], [11], [12], high frequency analytical solutions [13], [14], and higher order perturbative procedures [15]- [17] are examples of publications in the last three years.…”
Section: Introductionmentioning
confidence: 99%
“…Here, our intention is to analyze how well the small slope approximation model of the second order (SSA2) can reproduce the behavior of polarimetric radar signal, and how it is sensitive to the choice of ocean surface spectrum. It was demonstrated that the SSA2, as contrasted with the smallslope approximation of the first order SSA1 (and with the composite (two-scale) model) accounts also for Bragg scattering of the second order which includes a contribution from resonant terms responsible for Wood's anomaly [9][10][11]. Even though there is a qualitative agreement between the SSA2 predictions and the measured polarized backscattering cross sections and other complex entries of the correlation matrix, still, significant quantitative differences remain between the SSA2 predictions and experimental data.…”
Section: Introductionmentioning
confidence: 99%
“…Recent wind retrieval algorithms which employ cross-polarization radar signal (VH) rely on an assumption that VH is independent on azimuthal and incidence angles and driven mainly by wind speed [12]. However, azimuthal and incidence angle dependences of the VH return are predicted by the SSA2 [11] and clearly visible in airborne and satellite data [1][2][3][4][5][6][7][8]. Evidently, both measured co-pol and cross-pol radar cross sections manifest the directionality of the ocean surface roughness and wave breaking.…”
Section: Introductionmentioning
confidence: 99%