A Reconstruction Method of Electromagnetic Scattering Target Based on Diffusion Model

Electromagnetic inverse scattering problem (ISP) refers to using the measured field data to reconstruct the physical and geometric properties of the scattering target in the detection area. The ISP is inherently nonlinear, ill-conditioned and noise-afflicted. Traditional iterative optimization methods are unstable, time-consuming, inaccurate, and can easily get trapped in local optimums, making it difficult to achieve high-performance real-time imaging. Recently, the diffusion model in deep learning has become a leading solution in the field of image generation, demonstrating exceptional robustness and immunity to noise. In this paper, we use diffusion model and employ 2D panoramic image as a guiding tool for the 3D model reconstruction of electromagnetic scattering to tackle the aforementioned challenges in ISP. It is an innovative attempt to solve the ISP by using the diffusion model, and it has been well verified in the experimental results.