Automatic machine learning for target recognition

Erik Blasch; Uttam K. Majumder; Todd Rovito; Peter Zulch; Vincent J. Velten

doi:10.1117/12.2519221

14 May 2019 Automatic machine learning for target recognition

Erik Blasch, Uttam K. Majumder, Todd Rovito, Peter Zulch, Vincent J. Velten

Author Affiliations +

Proceedings Volume 10988, Automatic Target Recognition XXIX; 109880L (2019) https://doi.org/10.1117/12.2519221
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

Automatic Target Recognition (ATR) seeks to improve upon techniques from signal processing, pattern recognition (PR), and information fusion. Currently, there is interest to extend traditional ATR methods by employing Artificial Intelligence (AI) and Machine Learning (ML). In support of current opportunities, the paper discusses a methodology entitled: Systems Experimentation efficiency effectives Evaluation Networks (SEeeEN). ATR differs from PR in that ATR is a system deployment leveraging pattern recognition (PR) in a networked environment for mission decision making, while PR/ML is a statistical representation of patterns for classification. ATR analysis has long been part of the COMPrehensive Assessment of Sensor Exploitation (COMPASE) Center utilizing measures of performance (e.g., efficiency) and measures of effectiveness (e.g., robustness) for ATR evaluation. The paper highlights available multimodal data sets for Automated ML Target Recognition (AMLTR).

Conference Presentation

Citation Download Citation

Erik Blasch, Uttam K. Majumder, Todd Rovito, Peter Zulch, and Vincent J. Velten "Automatic machine learning for target recognition", Proc. SPIE 10988, Automatic Target Recognition XXIX, 109880L (14 May 2019); https://doi.org/10.1117/12.2519221

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