Target acquisition methodology for visual and infrared imaging sensors

Grant R. Gerhart; Edwina Lapinski Bednarz; Thomas J. Meitzler; Eui Jung Sohn; Robert E. Karlsen

doi:10.1117/1.600953

1 October 1996 Target acquisition methodology for visual and infrared imaging sensors

Grant R. Gerhart, Edwina Lapinski Bednarz, Thomas J. Meitzler, Eui Jung Sohn, Robert E. Karlsen

Optical Engineering, Vol. 35, Issue 10, (October 1996). https://doi.org/10.1117/1.600953

Today the great majority of target acquisition models within the Department of Defense (DoD) originate from two primary sources of empirical human observer data: the Blackwell-Tiffany visual perception experiments begun in World War II and the Army Night Vision Electrooptic Sensors Directorate (NVESD) field test trials with military observers. An extensive sensitivity analysis that compares the performance of several DoD acquisition models derived from these two extensive sets of data was carried out. A comprehensive analysis of each method and a detailed comparison of these different methodologies shows that they are in remarkably good agreement throughout their ranges of applicability. The authors show when the various modeling methodologies are applicable for a variety of military sensor and countermeasure scenarios.

Citation Download Citation

Grant R. Gerhart, Edwina Lapinski Bednarz, Thomas J. Meitzler, Eui Jung Sohn, and Robert E. Karlsen "Target acquisition methodology for visual and infrared imaging sensors," Optical Engineering 35(10), (1 October 1996). https://doi.org/10.1117/1.600953

Published: 1 October 1996

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