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Related Experiment Video

Updated: Mar 18, 2026

Clinical Imaging of Microwave Mammography
05:28

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Published on: November 14, 2025

375

Microwave Imaging under Oblique Illumination.

Qingyang Meng1, Kuiwen Xu2, Fazhong Shen3

  • 1Laboratory of Applied Research on Electromagnetics (ARE), Zhejiang University, Hangzhou 310027, China. mengqingyang@zju.edu.cn.

Sensors (Basel, Switzerland)
|July 12, 2016
PubMed
Summary
This summary is machine-generated.

Subspace-based optimization method (SOM) effectively images 2D objects using microwave imaging. Neglecting cross-polarization scattering in oblique incidence setups does not significantly impact information loss for 2D targets.

Keywords:
SOMinverse scattering problemmicrowave imagingoblique incidence

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Area of Science:

  • Electromagnetics and Applied Physics
  • Microwave Engineering
  • Computational Imaging

Background:

  • Microwave imaging, utilizing inverse scattering, faces challenges like ill-posed algorithms and complex setups hindering practical use.
  • Subspace-based optimization method (SOM) is explored as a potential solution for these microwave imaging challenges.

Purpose of the Study:

  • To experimentally evaluate the performance of the subspace-based optimization method (SOM) for two-dimensional (2D) objects.
  • To assess the impact of neglecting cross-polarization scattering in oblique incidence microwave imaging setups for 2D objects.

Main Methods:

  • Experimental investigation of the subspace-based optimization method (SOM).
  • Application of SOM to a microwave imaging setup designed for oblique incidence.
  • Analysis of analytical, simulation, and experimental data for 2D objects.

Main Results:

  • The subspace-based optimization method (SOM) demonstrates effective performance for 2D objects in the studied setup.
  • Neglecting cross-polarization scattering in this configuration does not lead to a significant loss of imaging information for 2D objects.
  • The method shows potential for practical imaging applications.

Conclusions:

  • The subspace-based optimization method (SOM) is a viable approach for microwave imaging of 2D objects, even with oblique incidence.
  • Cross-polarization scattering can be disregarded without substantial information loss in specific 2D microwave imaging scenarios.
  • This technique holds promise for real-world imaging of 2D-like objects, such as human limbs.