Share Email Print

Proceedings Paper

Stand off detection and classification using terahertz radiation
Author(s): M. A Hussain; M. A. Johnson; M. A. Doxbeck
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

We present analysis and some experiments for rapid recognition and detection of hidden objects (i.e. human figures) using terahertz radiation. T-rays have a unique advantage, namely high reflectivity compared with all other electromagnetic waves and the ability to pass through most building materials. Further, the high frequency range of the terahertz band has the potential of reduced equipment size as compared with current radar technology. Imaging, at these frequencies, is developing fairly rapidly as compared with communication. However, usual imaging in the form of SAR, ISAR or electro-optical imaging takes a long time due to the large dwell time to acquire a single image. In this report, we investigate techniques for rapid classification using one dimension high resolution range profiles. Methods of statistical pattern recognition will be applied for identification of the object.

Paper Details

Date Published: 19 May 2005
PDF: 8 pages
Proc. SPIE 5807, Automatic Target Recognition XV, (19 May 2005); doi: 10.1117/12.622979
Show Author Affiliations
M. A Hussain, Benet Labs. (United States)
M. A. Johnson, Benet Labs. (United States)
M. A. Doxbeck, Benet Labs. (United States)

Published in SPIE Proceedings Vol. 5807:
Automatic Target Recognition XV
Firooz A. Sadjadi, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?