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SSG Seminar Abstract

Detection and Analysis of
Anisotropic Scattering in SAR Data

Andrew Kim
SSG Doctoral Student

Scattering from man-made objects in SAR imagery often exhibit aspect and frequency dependencies which are not well modeled by standard SAR imaging techniques. If ignored, these deviations will reduce recognition performance due to the model mismatch, but when appropriately accounted for, these deviations from the ideal point scattering model can be exploited as attributes to better distinguish scatterers and their respective targets. With this in mind, we have developed a relaxed model taking scatterer anisotropy into account. One of the products of our analysis is the assignment of a discrete anisotropy label to each scatterer. This feature describes the anisotropy of the underlying scattering, however, there are multiple candidates for the source of observed anisotropy. In addition to canonical scatterers (scatterers with a simple geometric structure), volumetric scatterers (random arrangements of interfering point scatterers) may also produce anisotropic responses. We explain how with wide-aperture data, we can reduce the observation rate of volumetric anisotropy while preserving that of canonical anisotropy. This helps to answer the question in the SAR community as to the existence of a significant benefit of increasing SAR image resolution or equivalently increasing aperture size and bandwidth.

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