Optimized mapping of radiometric quantities into OpenGL

Maximo Lorenzo; Eddie L. Jacobs; J. Russ Moulton Jr.; Jesse Liu

doi:10.1117/12.354476

23 July 1999 Optimized mapping of radiometric quantities into OpenGL

Maximo Lorenzo, Eddie L. Jacobs, J. Russ Moulton Jr., Jesse Liu

Author Affiliations +

Proceedings Volume 3694, Modeling, Simulation, and Visualization for Real and Virtual Environments; (1999) https://doi.org/10.1117/12.354476
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

Physically realistic synthesis of FLIR imagery requires intensive phenomenology calculations of the spectral band thermal emission and reflection from scene elements in the database. These calculations predict the heat conduction, convection, and radiation exchange between scene elements and the environment. Balancing this requirement is the need for imagery to be presented to a display in a timely fashion, often in real time. In order to support these conflicting requirements, some means of overcoming the gap between real time and high fidelity must be achieved. Over the past several years, the US Army Night Vision and Electronic Sensors Directorate (NVESD) has been developing a real-time forward looking infrared sensor simulation known as Paint the Night (PTN). As part of this development, NVESD has explored schemes for optimizing signature models and for mapping model radiometric output into parameters compatible with OpenGL, real-time rendering architectures. Relevant signature and mapping optimization issues are discussed, and a current NVESD PTN real-time implementation scheme is presented.

Citation Download Citation

Maximo Lorenzo, Eddie L. Jacobs, J. Russ Moulton Jr., and Jesse Liu "Optimized mapping of radiometric quantities into OpenGL", Proc. SPIE 3694, Modeling, Simulation, and Visualization for Real and Virtual Environments, (23 July 1999); https://doi.org/10.1117/12.354476

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