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Proceedings Paper

Enhanced backgrounds in scene rendering with GTSIMS
Author(s): Keith F. Prussing; Oliver Pierson; Chris Cordell; John Stewart; Kevin Nielson
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Paper Abstract

A core component to modeling visible and infrared sensor responses is the ability to faithfully recreate background noise and clutter in a synthetic image. Most tracking and detection algorithms use a combination of signal to noise or clutter to noise ratios to determine if a signature is of interest. A primary source of clutter is the background that defines the environment in which a target is placed. Over the past few years, the Electro-Optical Systems Laboratory (EOSL) at the Georgia Tech Research Institute has made significant improvements to its in house simulation framework GTSIMS. First, we have expanded our terrain models to include the effects of terrain orientation on emission and reflection. Second, we have included the ability to model dynamic reflections with full BRDF support. Third, we have added the ability to render physically accurate cirrus clouds. And finally, we have updated the overall rendering procedure to reduce the time necessary to generate a single frame by taking advantage of hardware acceleration. Here, we present the updates to GTSIMS to better predict clutter and noise doe to non-uniform backgrounds. Specifically, we show how the addition of clouds, terrain, and improved non-uniform sky rendering improve our ability to represent clutter during scene generation.

Paper Details

Date Published: 14 May 2018
PDF: 7 pages
Proc. SPIE 10625, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIX, 106250O (14 May 2018); doi: 10.1117/12.2304864
Show Author Affiliations
Keith F. Prussing, Georgia Tech Research Institute (United States)
Oliver Pierson, Georgia Tech Research Institute (United States)
Chris Cordell, Georgia Tech Research Institute (United States)
John Stewart, Georgia Tech Research Institute (United States)
Kevin Nielson, Georgia Tech Research Institute (United States)


Published in SPIE Proceedings Vol. 10625:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIX
Gerald C. Holst; Keith A. Krapels, Editor(s)

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