Feature extraction technique to reduce dimensionality of the acquired THz spectra response

Radoslaw Ryniec; Mieczyslaw Szustakowski; Przemyslaw Zagrajek; Marek Piszczek

doi:10.1117/12.898072

13 October 2011 Feature extraction technique to reduce dimensionality of the acquired THz spectra response

Radoslaw Ryniec, Mieczyslaw Szustakowski, Przemyslaw Zagrajek, Marek Piszczek

Proceedings Volume 8188, Millimetre Wave and Terahertz Sensors and Technology IV; 81880O (2011) https://doi.org/10.1117/12.898072
Event: SPIE Security + Defence, 2011, Prague, Czech Republic

Abstract

Recently, there has been a significant interest in employing Terahertz (THz) technology, spectroscopy and imaging for standoff detection. The main advantage of terahertz systems is the possibility for remote detect and identification of chemical compounds. Practical security system in reflection mode is desired. Unfortunately, reflection spectra for many compounds are very similar. Therefore, the simple correlation method is not sufficient to distinguish substances. In this paper we present the concept of using combined techniques of Short Time Fourier Transform (SFFT) and image processing with pattern recognition application in the area of automatic identification of explosives in THz range.

Citation Download Citation

Radoslaw Ryniec, Mieczyslaw Szustakowski, Przemyslaw Zagrajek, and Marek Piszczek "Feature extraction technique to reduce dimensionality of the acquired THz spectra response", Proc. SPIE 8188, Millimetre Wave and Terahertz Sensors and Technology IV, 81880O (13 October 2011); https://doi.org/10.1117/12.898072

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