Authors: Christopher C.K. Chan, Alexander Ferworn and Lee Chin
This paper proposes a methodology to obtain a model for estimating relative densities of unknown substances contained in Improvised Explosive Devices (IEDs) using scanning technology and image processing techniques. We assert that this technique can provide teams involved in explosive threat detection relevant information pertaining to a range of possible types of explosive material contained within an IED.
Citation: Chan, Christopher CK, Alexander Ferworn, and Lee Chin “Towards Determining Relative Densities for Common Unknown Explosives in Improvised Explosive Devices” International Humanitarian Technology Conference-(IHTC), 2017 IEEE Canada International. IEEE, 2017.