Interferometric terahertz imaging for detection of lethal agents using artificial neural network analyses

Aparajita Bandyopadhyay, Alexander M. Sinyukov, Amartya Sengupta, Dale Gary, John Federici, Robert Barat, Zoi-Heleni Michalopoulou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


Interferometric imaging is a non-invasive, non-contact method to detect concealed lethal agents employing spectral imaging in the terahertz (THz) range. Parallel to the experimental testing over short range, extensive modeling simulates reconstructed images of lethal agents at different frequencies applying interferometric techniques. Near-field correction to such imaging has been accounted for and edge probe algorithm and consequent artificial neural network analyses identify the agents under consideration. This work addresses the issues related to THz imaging for rapid and successful recognition of lethal agents in security screening.

Original languageEnglish (US)
Title of host publication2006 IEEE Sarnoff Symposium
StatePublished - 2006
Event2006 IEEE Sarnoff Symposium - Princeton, NJ, United States
Duration: Mar 27 2006Mar 28 2006

Publication series

Name2006 IEEE Sarnoff Symposium


Other2006 IEEE Sarnoff Symposium
Country/TerritoryUnited States
CityPrinceton, NJ

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Communication


  • Artificial neural networks
  • Detection of concealed agents
  • Interferometric arrays
  • Kohonen self organizing maps
  • Terahertz imaging


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