volume | PIER Journals

Abstract

In wide-angle synthetic aperture radar (SAR), the scattering behavior of many illuminated objects might vary with the observation angle, which results in the degradation of the resolution and interpretability of the reconstructed imagery. To solve this problem, a sparse-based methodology is proposed in this paper to implement the separation of the anisotropic scattering target data and imaging processing simultaneously. The distinct reflection characteristics of the illuminated targets are employed to formulate a composite projection operator. Then, the sparse constraint is utilized to suppress cross-projection energy. Finally, the imagery of the anisotropic scattering targets could be derived with improved focal quality and interpretability. Numerical simulations could verify the validity of the proposed methodology.

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Dr. Xin Wang

Dr. Guiqing Chang

Dr. Chenchen Chi