摘要: Fast and accurate characterization of concealed threats and benign objects is of great importance for increasing the efficiency of mm-wave imaging radar personnel screening systems in airports. Correctly classifying low-loss and l... 展开 Fast and accurate characterization of concealed threats and benign objects is of great importance for increasing the efficiency of mm-wave imaging radar personnel screening systems in airports. Correctly classifying low-loss and lossless materials is essential in detecting threats. Previous work developed a real-time, fully automatic algorithm for characterizing lossy vs. lossless materials. This paper extends the mm-wave image-processing-based method to distinguish low-loss media, such as paper vs. lossless materials, that include explosives. The developed method is verified experimentally by applying it to experimentally measured radar data generated by a 10–40 GHz wideband laboratory airport screening prototype. 收起