Improvement of 3D imaging with millimeter wave I/SAR for concealed object detection

Imaging systems have recently come to an important position due to increasing security concerns. Imaging systems are preferred to ensure the security of areas such as airports and customs. In this context, millimetre-wave based imaging systems have become popular. Millimeter-wave is preferred because it can penetrate into environments such as clothing and packaging, and it provides high-resolution images and hardware advantages. Millimeter-wave and synthetic aperture-based imaging systems can obtain hologram images of targets by scanning the imaging area along two different synthetic apertures. Thus, it provides the opportunity to detect concealed objects on the target. In this study, it is aimed to develop millimeter-wave hologram imaging systems. The reflected signals were collected by scanning the targets with the constituted cylindrical scanning experimental system. The back-projection algorithm was used to reconstruct the images of the targets. For the interpolation stage of the back-projection algorithm, a conical differential range using less interpolation point number is proposed. The results of proposed algorithm and the traditional back-projection algorithm are given with simulation and experimental studies. It has been seen that the proposed algorithm reduces noise in the image, uses less data and improves image quality.