paper 150305210011

Published: 2015-07-09

Fast Level Set Based Method for High Contrast Microwave Imaging

Mahta Moghaddam,

Mahta Moghaddam

University of Southern California, USA

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Pratik Shah

University of Southern California, USA

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Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9，Page(s)253-257

Abstract

Microwave imaging is a non-ionizing modality and has applicability in many areas. Many numerical and experimental studies on microwave imaging have been performed in the past several years, with common impediments being the inability to recover high dielectric contrasts and slow speed of computation. We propose a method based on level set formulation to recover the shape of imaged targets even for the high-contrast case, when prior information on permittivity of the object is known. Our method significantly differs from the previous work as we evaluate the inverse problem without solving the adjoint field and consider the variational level set for regularizing the level set evolution. Hence, the proposed method is very fast. The applicability of the method is demonstrated on synthetically generated data for a two-dimensional (2D) scenario. The reconstructed images indicate that the method can produce accurate object localization and shape identification even for high contrast objects.

Citation

Mahta Moghaddam, and Pratik Shah, "Fast Level Set Based Method for High Contrast Microwave Imaging," Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9，Page(s)253-257

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