Current active millimeter-wave (MMW) imaging system applied to personnel surveillance uses shape recognition in the reconstructed image to identify dangerous goods. This method relies on a single kind of information namely pixel value to distinguish potential threats. It can be susceptible to interference such as noise and multiple scattering and it is difficult to distinguish fine structures. In view of this situation, this paper presents a feature acquiring through multi-angle imaging to characterize target’s scattering property. This feature can add one more dimensional information of targets except for the original reconstructed image, and it can distinguish objects more accurately to assist the realization of target classification. Electromagnetic simulation has been conducted and the reconstructed image results as well as quantitative studies show the effectiveness of this feature in assisting target distinction.
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