Neural network analysis of terahertz spectra of explosives and bio-agents

Felipe Oliveira; Robert Barat; Brian Shulkin; John F. Federici; Dale Gary; David A. Zimdars

doi:10.1117/12.500875

29 July 2003 Neural network analysis of terahertz spectra of explosives and bio-agents

Felipe Oliveira, Robert Barat, Brian Shulkin, John F. Federici, Dale Gary, David A. Zimdars

Proceedings Volume 5070, Terahertz for Military and Security Applications; (2003) https://doi.org/10.1117/12.500875
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

A proposed, non-invasive, means to detect and characterize concealed biological and explosive agents in near real-time with a wide field-of-view uses spatial imaging of their characteristic transmission or reflectivity wavelength spectrum in the Terahertz (THz) electro-magnetic range (0.1-3 THz). Neural network analyses of the THz spectra and images will provide the specificity of agent detection and reduce the frequency of false alarms. Artificial neural networks are mathematical devices for modeling complex, non-linear functionalities. The key to a successful neural network is adequate training with known input-output data. Important challenges in the research include identification of the preferred network structure (e.g. multi-layer perceptron), number of hidden nodes, training algorithm (e.g. back propagation), and determination of what type of THz spectral image pre-processing is needed prior to application of the network. Detector array images containing both spectral and spatial information are analyzed with the aid of the Neurosolutions(TM) commercial neural network software package.

Citation Download Citation

Felipe Oliveira, Robert Barat, Brian Shulkin, John F. Federici, Dale Gary, and David A. Zimdars "Neural network analysis of terahertz spectra of explosives and bio-agents", Proc. SPIE 5070, Terahertz for Military and Security Applications, (29 July 2003); https://doi.org/10.1117/12.500875

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available