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Proceedings Paper

Background clutter models for scene simulation
Author(s): J. Michael Cathcart; Nickolas L. Faust; Albert D. Sheffer; Leonard J. Rodriguez
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Paper Abstract

Geographic background models constitute an important component in scene simulations as they provide one component of clutter observed through IR sensors. Accurate modeling of the spatially-varying features and signatures of the background presents a significant challenge to the developer of a scene simulation; especially for tactical applications. The approach employed within the Georgia Tech Research Institute is outlined in this paper. Emphasis is placed on the methodology for creating the spatial structure of the background, the underlying signature prediction model, and the relationship between the geographic features and the signature model.

Paper Details

Date Published: 15 November 1993
PDF: 12 pages
Proc. SPIE 1938, Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data, (15 November 1993); doi: 10.1117/12.161558
Show Author Affiliations
J. Michael Cathcart, Georgia Institute of Technology (United States)
Nickolas L. Faust, Georgia Institute of Technology (United States)
Albert D. Sheffer, Georgia Institute of Technology (United States)
Leonard J. Rodriguez, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 1938:
Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data
Pat S. Chavez; Robert A. Schowengerdt, Editor(s)

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