New Trends and Future Challenges in Computational Microwave Imaging

Dear Colleagues,

The development of fast, accurate, and reliable techniques for solving large-scale complex electromagnetic inverse scattering problems is a fundamental challenge because of its importance in several application scenarios, including biomedical imaging, subsurface prospecting, through-the-wall imaging, non-destructive testing and evaluation, and structural health monitoring. The relevance and interest of academic and industrial research in such areas is driven by several concurring factors, including increased availability of cost-effective data acquisition processes and measurement technologies, computing architectures suitable for large-scale processing, numerically efficient and robust computational microwave imaging methodologies exploiting original formulations, innovative information processing strategies, and new regularization techniques.

In this framework, this Special Issue is aimed at highlighting the challenges, current trends, and most recent advances in computational microwave imaging as applied to several non-invasive EM problems.

Prof. Dr. Maokun Li
Dr. Marco Salucci
Dr. Alessandro Polo
Guest Editor

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