Abstract

In this article, complex random polar media (CRPM) are synthesized by a forward numerical modeling based on the fractal statistical properties of the marginal ice zone (MIZ) in terms of its energy balance under sea state conditions. The proposed modeling was carried out by the parallel processing of a modified JONSWAP directional spectrum function in a two-dimensional hybrid domain. As a novel approach, the scattering formulation has been modified in the form of a two-scale implementation, which is optimized by the product of cosine-power and Gamma probability distribution function (PDF). As a result, a composite model of CRPM under different sea state conditions, including wind speed and direction, has been made possible. Due to the high dynamics of CRPM under sea state conditions, the presence of high entropy samples in the form of random roughness fluctuations is inevitable. These highly textured areas not only reduce the ability to resolve fine details but also make the interpretation difficult from a remote sensing point of view. According to the importance of synthetic aperture radar in the observation of MIZ and analysis of scattering properties, the spectral distribution modeling of these roughness anomalies and their electromagnetic interactions, along with surface tension synthesis, are presented here. Meanwhile, several objective quality metrics under different sea state conditions have been derived. The results show that the sea state not only changes the spectral components, but also affects their contribution to the roughness fluctuations and texture compositions. In short, this is for the first time that the composite modeling of CRPM based on directional spectrum function under sea state conditions along with electromagnetic interactions investigation and its pertinent texture analysis has been done.

Highlights

  • S EA ice is a critical component of polar climate systems composed of ice sheets, which range in a horizontal scaleManuscript received March 16, 2021; revised April 28, 2021 and May 20, 2021; accepted May 26, 2021

  • To date, most models have ignored the role of ocean waves in the modulation processes, and their wavefield scattering in the presence of ice floes do not describe the problem of roughness under sea state conditions

  • These processes are studied in terms of complex random polar media (CRPM) energy scattering functions by using a modified version of the JONSWAP formulation, which is visualized in the form of a CRPM surface roughness model

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Summary

INTRODUCTION

S EA ice is a critical component of polar climate systems composed of ice sheets, which range in a horizontal scale. Another advantage of such a texture visualization is the contribution of CRPM surface roughness to electromagnetic interactions, which play an important role in SAR sensor optimization, image formation algorithm development, image enhancement and identification, and reduce the need for experimental field observations [40]– [42], [46], [49]–[59] To this end, a forward statistical modeling of CRPM based on the parallel processing of spectral distributions under sea state conditions is investigated in this research. To the best of authors’ knowledge, this article takes a step toward the composite surface modeling of CRPM based on the parallel processing of scattering function modification under sea state conditions and investigates the fractal texture information, including roughness fluctuations, spectral distributions, electromagnetic interactions, and surface tension synthesis, which have not been reported altogether previously.

CRPM SURFACE ROUGHNESS MODELING APPROACH
CRPM Energy Balance Formulation
CRPM Surface Modeling Procedure
CRPM TEXTURE STATISTICAL DISTRIBUTION FORMULATION AND SYNTHESIS
CRPM Highly Textured Area Formulation and Simulation
CRPM Texture Electromagnetic Interaction Evaluation
CRPM Texture Tension Synthesis
OBJECTIVE
CONCLUSION
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