8,280 research outputs found

    Electromagnetic Scattering and Statistic Analysis of Clutter from Oil Contaminated Sea Surface

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    In order to investigate the electromagnetic (EM) scattering characteristics of the three dimensional sea surface contaminated by oil, a rigorous numerical method multilevel fast multipole algorithm (MLFMA) is developed to preciously calculate the electromagnetic backscatter from the two-layered oil contaminated sea surface. Illumination window and resistive window are combined together to depress the edge current induced by artificial truncation of the sea surface. By using this combination, the numerical method can get a high efficiency at a less computation cost. The differences between backscatters from clean sea and oil contaminated sea are investigated with respect to various incident angles and sea states. Also, the distribution of the sea clutter is examined for the oil-spilled cases in this paper

    Microwave backscattering theory and active remote sensing of the ocean surface

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    The status is reviewed of electromagnetic scattering theory relative to the interpretation of microwave remote sensing data acquired from spaceborne platforms over the ocean surface. Particular emphasis is given to the assumptions which are either implicit or explicit in the theory. The multiple scale scattering theory developed during this investigation is extended to non-Gaussian surface statistics. It is shown that the important statistic for the case is the probability density function of the small scale heights conditioned on the large scale slopes; this dependence may explain the anisotropic scattering measurements recently obtained with the AAFE Radscat. It is noted that present surface measurements are inadequate to verify or reject the existing scattering theories. Surface measurements are recommended for qualifying sensor data from radar altimeters and scatterometers. Additional scattering investigations are suggested for imaging type radars employing synthetically generated apertures

    On alpha stable distribution of wind driven water surface wave slope

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    We propose a new formulation of the probability distribution function of wind driven water surface slope with an α\alpha-stable distribution probability. The mathematical formulation of the probability distribution function is given under an integral formulation. Application to represent the probability of time slope data from laboratory experiments is carried out with satisfactory results. We compare also the α\alpha-stable model of the water surface slopes with the Gram-Charlier development and the non-Gaussian model of Liu et al\cite{Liu}. Discussions and conclusions are conducted on the basis of the data fit results and the model analysis comparison.Comment: final version of the manuscript: 25 page

    Basic studies in microwave remote sensing

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    Scattering models were developed in support of microwave remote sensing of earth terrains with particular emphasis on model applications to airborne Synthetic Aperture Radar measurements of forest. Practically useful surface scattering models based on a solution of a pair of integral equations including multiple scattering effects were developed. Comparisons of these models with controlled scattering measurements from statistically known random surfaces indicate that they are valid over a wide range of frequencies. Scattering models treating a forest environment as a two and three layered media were also developed. Extensive testing and comparisons were carried out with the two layered model. Further studies with the three layered model are being carried out. A volume scattering model valid for dense media such as a snow layer was also developed that shows the appropriate trend dependence with the volume fraction of scatterers

    Backscatter of Electromagnetic Waves from a Rough Layer

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    Backscatter of electromagnetic waves from rough surfac

    Evaluation and Verification of Bottom Acoustic Reverberation Statistics Predicted by the Point Scattering Model

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    The point scatteringmodel offers a parameterization of the reverberation probability density function (pdf) in terms of the coefficient of excess (kurtosis) and a coherent component represented by a harmonic process with random phase. In this paper the potential utility of this parametrization is investigated in the context of seafloor characterization. The problem of separating out the effect of each parameter is discussed. Computer simulations are used to verify model predictions on the reverberation quadrature, envelope, and phase pdf. As part of the verification study, the scatterer density was determined from the kurtosis of the reverberation quadrature pdf. A statistical analysis of this procedure points to reduced estimate accuracy with decreasing kurtosis. Additional computer simulations show that the chosen pdf family, developed under the assumption of a Poissonscatterer distribution, is flexible enough to fit reverberation data generated by non‐Poisson scatterer distributions exhibiting a degree of clustering or regularity. A computer experiment demonstrates how this parametrization can be used in conjunction with a simple sonar geometry to generate acoustic signatures for seafloor classification. In addition, real reverberation data collected by a Sea Beam sonar system in two different seafloor areas are interpreted according to the chosen parametrization

    Impact of rain, swell, and surface currents on the electromagnetic bias in GNSS-Reflectometry

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    The assessment of the electromagnetic (EM) bias is required to predict the performance of upcoming global navigation satellite systems-reflectometry (GNSS-R) altimetry systems, and its impact in data assimilation climate studies. In previous studies, the EM bias in bistatic GNSS-R altimetry (L-band) was numerically estimated for a wind-driven sea surface height spectrum, including the time-domain variability. In the present study, spectral models for the rain, swell, and surface currents are used to compute a perturbed wind-driven sea surface height spectrum, from which a perturbed three-dimensional (3-D) time-evolving wind-driven sea surface height is computed. The generated sea surface is then illuminated by a right hand circular polarization (RHCP) L-band EM wave, and the wave scattered from each facet is computed from each facet using the physical optics (PO) method under the Kirchhoff approximation (KA). Finally, the EM bias is computed numerically as the height of each patch times the forward-scattering coefficient, divided by the average of the forward-scattering coefficient. The impact of rain on the EM bias is a moderate decrease (in magnitude) due to the damping of the large gravity waves, which is more significant as the wind speed increases. The impact of swell is a small increase (in magnitude) mostly due to the change of the local incidence angles. The impact of currents can be either a moderate increase or decrease (in magnitude), depending on the sense of the current with respect to the wind, due to a change in the surface roughness.Peer ReviewedPostprint (author's final draft

    Monte Carlo simulation of wave sensing with a short pulse radar

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    A Monte Carlo simulation is used to study the ocean wave sensing potential of a radar which scatters short pulses at small off-nadir angles. In the simulation, realizations of a random surface are created commensurate with an assigned probability density and power spectrum. Then the signal scattered back to the radar is computed for each realization using a physical optics analysis which takes wavefront curvature and finite radar-to-surface distance into account. In the case of a Pierson-Moskowitz spectrum and a normally distributed surface, reasonable assumptions for a fully developed sea, it has been found that the cumulative distribution of time intervals between peaks in the scattered power provides a measure of surface roughness. This observation is supported by experiments

    The recovery of microwave scattering parameters from scatterometric measurements with special application to the sea

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    As part of an effort to demonstrate the value of the microwave scatterometer as a remote sea wind sensor, the interaction between an arbitrarily polarized scatterometer antenna and a noncoherent distributive target was derived and applied to develop a measuring technique to recover all the scattering parameters. The results are helpful for specifying antenna polarization properties for accurate retrieval of the parameters not only for the sea but also for other distributive scenes
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