Development of an infrared imaging classifier for UGS

Bob D'Agostino; Mike McCormack; Bob Steadman

doi:10.1117/12.851808

7 May 2010 Development of an infrared imaging classifier for UGS

Bob D'Agostino, Mike McCormack, Bob Steadman

Proceedings Volume 7693, Unattended Ground, Sea, and Air Sensor Technologies and Applications XII; 76930K (2010) https://doi.org/10.1117/12.851808
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

We show design and performance results for an Unattended Ground Sensors (UGS) Automatic Target Recognition (ATR) target classifier using infrared (IR) imagery. Our goal was to develop a basic ATR capability to separate human vs. animal vs. vehicle vs. non-target. Our current UGS video capability accurately detects tracks and transmits targetcentered long wave infrared and visible imagery to a base station. We demonstrate an ATR capability to classify and transmit only targets of interest to the user while excluding others. We describe the ATR development process which includes data collection, building a truthed dataset, feature development, classifier training and performance evaluation.

Citation Download Citation

Bob D'Agostino, Mike McCormack, and Bob Steadman "Development of an infrared imaging classifier for UGS", Proc. SPIE 7693, Unattended Ground, Sea, and Air Sensor Technologies and Applications XII, 76930K (7 May 2010); https://doi.org/10.1117/12.851808

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