Title :
Millimetre-wave radiometric imaging for concealed contraband detection on personnel
Author :
Xiao, Z. ; Hu, Tomonori ; Xu, Jie ; Wu, Liang
Author_Institution :
Sch. of Electron. Eng. & Optoelectron. Technol., Nanjing Univ. of Sci. & Technol., Nanjing, China
fDate :
8/1/2011 12:00:00 AM
Abstract :
Millimetre-wave (MMW) radiometric imaging has established itself in a wide range of military and civil applications, but the fact that the radiometric temperature contrast between different objects indoors is low restricts the commercial application of MMW radiometric imaging to some extent. Based on the particular analysis of MMW radiometric imaging model suitable for concealed contraband detection on personnel, the method of adopting MMW noise source to illuminate the scene of being imaged to improve the radiometric temperature contrast, just like the flash lamp of camera, is proposed in this study. In addition, the choice of both the ways of illumination and the excess noise ratio (ENR) of the noise source is analysed. Then the image degradation model is discussed and the projection onto the convex sets (POCS) algorithm for MMW radiometric image super-resolution restoration is depicted in detail. In addition, a series of experiments are carried out both indoors and outdoors, with the dual-channel radiometric imaging system that has been implemented at W-band with the mode of two-dimensional planar scanning. The experimental results are presented and analysed to validate the significance of the imaging model and it is indicated that the radiometric imaging system is capable of detecting metal objects hidden underneath clothing, and the method of adopting noise illumination can improve the quality of radiometric images.
Keywords :
image resolution; image restoration; millimetre wave imaging; object detection; radiometry; set theory; MMW noise source; MMW radiometric image super-resolution restoration; POCS algorithm; W-band; concealed contraband detection; dual-channel radiometric imaging system; excess noise ratio; image degradation model; millimetre-wave radiometric imaging; personnel; projection onto the convex sets algorithm; radiometric temperature contrast; two-dimensional planar scanning;
Journal_Title :
Image Processing, IET
DOI :
10.1049/iet-ipr.2009.0230