Synthetic forward-looking infrared signatures for training and testing target identification classifiers

Bruce A. Weber; Joseph A. Penn

doi:10.1117/1.1719026

1 June 2004 Synthetic forward-looking infrared signatures for training and testing target identification classifiers

Bruce A. Weber, Joseph A. Penn

Author Affiliations +

Optical Engineering, Vol. 43, Issue 6, (June 2004). https://doi.org/10.1117/1.1719026

Abstract

A series of experiments are performed to benchmark the performance of a target identification classifier trained on synthetic forward-looking infrared (FLIR) target signatures. Results show that the classifier, when trained on synthetic target signatures and tested on measured, real-world target signatures, can perform as well as when trained on measured target signatures alone. It is also shown that when trained on a combined database of measured plus synthetic target signatures, performance exceeds that when trained on either database alone. Finally, it is shown that within a large, diverse database of signatures there exists a subset of signatures whose trained classifier performance can exceed that achieved using the whole database. These results suggest that for classification applications, synthetic FLIR data can be used when enough measured data is unavailable or cannot be obtained due to expense or unavailability of targets, sensors, or site access.

©(2004) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Bruce A. Weber and Joseph A. Penn "Synthetic forward-looking infrared signatures for training and testing target identification classifiers," Optical Engineering 43(6), (1 June 2004). https://doi.org/10.1117/1.1719026

Published: 1 June 2004

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