Bayesian inference and conditional probabilities as performance metrics for homeland security sensors

Tomasz P. Jannson

doi:10.1117/12.718838

4 May 2007 Bayesian inference and conditional probabilities as performance metrics for homeland security sensors

Tomasz P. Jannson

Proceedings Volume 6538, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VI; 653810 (2007) https://doi.org/10.1117/12.718838
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

This paper discusses military and Homeland Security sensors, sensor systems, and sensor fusion under very general assumptions of statistical performance. In this context, the system performance metrics parameters are analyzed in the form of direct and inverse conditional probabilities, based on so-called signal theory, applied first for automatic target recognition (ATR). In particular, false alarm rate, false positive, false negative rate, accuracy, and probability of detection (or, probability of correct rejection), are discussed as conditional probabilities within classical and Bayesian inference. Several examples from various homeland security areas are also discussed to illustrate the concept. As a result, it is shown that vast majority of sensor systems (in a very general sense) can be discussed in terms of these parameters.

Citation Download Citation

Tomasz P. Jannson "Bayesian inference and conditional probabilities as performance metrics for homeland security sensors", Proc. SPIE 6538, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VI, 653810 (4 May 2007); https://doi.org/10.1117/12.718838

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