Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mahshid Asri"'
Publikováno v:
IEEE Open Journal of Antennas and Propagation, Vol 4, Pp 245-253 (2023)
Efficient characterization of concealed person-worn objects enhances the security of air travel and reduces the inspection time. Mm-wave nearfield radar can detect metallic objects such as guns or knives, as well as water-based materials that might b
Externí odkaz:
https://doaj.org/article/56407c14fc1f4591a6d089e34acc04cc
Publikováno v:
IEEE Transactions on Antennas and Propagation. 70:9732-9741
Publikováno v:
2022 16th European Conference on Antennas and Propagation (EuCAP).
Publikováno v:
2020 14th European Conference on Antennas and Propagation (EuCAP).
This paper proposes a method for determining permittivity and thickness of body-borne objects automatically by processing wideband radar images. The algorithm can be used to find the explosive threats and rule out the benign objects. Having the recon
Autor:
Mahshid Asri, Carey M. Rappaport
Publikováno v:
2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting.
This paper presents a new method for automatically determining the dielectric permittivity and thickness of a penetrable dielectric affixed to the human body by processing radar image responses. This is an important problem for explosives detection w