Comparison of perception results with a proposed model for detection of a stationary target from a moving platform

Melvin Friedman; Todd Du Bosq; Joseph Reynolds; David Wilson; Robin Kang

doi:10.1117/12.819363

22 April 2009 Comparison of perception results with a proposed model for detection of a stationary target from a moving platform

Melvin Friedman, Todd Du Bosq, Joseph Reynolds, David Wilson, Robin Kang

Author Affiliations +

Proceedings Volume 7300, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX; 73000E (2009) https://doi.org/10.1117/12.819363
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

A model has been developed that predicts the probability of detection as a function of time for a sensor on a moving platform looking for a stationary object. The proposed model takes as input P (calculated from NVThermIP), expresses it as a function of time using the known sensor-target range and outputs detection probability as a function of time. The proposed search model has one calibration factor that is determined from the mean time to detect the target. Simulated imagery was generated that models a vehicle moving with constant speed along a straight road with varied vegetation on both sides and occasional debris on the road and on the shoulder. Alongside, and occasionally on the road, triangular and square shapes are visible with a contrast similar to that of the background but with a different texture. These serve as targets to be detected. In perception tests, the ability of observers to detect the simulated targets was measured and excellent agreement was observed between modeled and measured results.

Citation Download Citation

Melvin Friedman, Todd Du Bosq, Joseph Reynolds, David Wilson, and Robin Kang "Comparison of perception results with a proposed model for detection of a stationary target from a moving platform", Proc. SPIE 7300, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX, 73000E (22 April 2009); https://doi.org/10.1117/12.819363

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