An Edge Restoration Method for Microwave Photonic Inverse Synthetic Aperture Radar Based on Morphological Theory

The Microwave Photonic (MWP) radar, designed for ultrawideband signal emission in high-precision imaging, encounters challenges in ultra-high-resolution images where strong scattering points obscure weak edge scattering areas of the target. Consequently, the resultant images exhibit isolated strong points instead of continuous edges on the physical structure, diminishing the interpretative capacity of highresolution radar images. This paper proposes a Microwave Photonic Inverse Synthetic Aperture Radar (MWP-ISAR) edge recovery method based on morphological theory to address this issue. The method employs image preprocessing, including dilation and edge detection, followed by the hough transform (HT) for accurate edge localization. Subsequently, An adaptive neighborhood enhancement operator is used to restore the target’s edge features. Notably, the method adeptly tackles the computational cost problem arising from numerous parameter estimates in the image reconstruction process based on parametric models while also automatically extracting edges for restoration. Finally, the proposed method undergoes validation and quantitative evaluation using authentic aircraft data, substantiating its effectiveness in enhancing radar image interpretation.