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Proceedings Paper

Background clutter database models derived by stochastic means
Author(s): Aaron Wilkosz; Bryan L. Williams; Steve Motz
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Paper Abstract

A statistical approach to background clutter modeling is described. A top-level description is given of a model used to generate spatial elements and thermal IR maps of high- resolution 3D background databases. The model employs fractional geometry techniques supplemented with a modified version of the random midpoint displacement. As input the model requires a material class map and a descriptor file containing information about the material classes identified in the class map. A stochastic interpolation scheme is used to generate high-resolution 3D background databases that display spatial correlation features that correlate well with empirical data.

Paper Details

Date Published: 14 July 1999
PDF: 5 pages
Proc. SPIE 3699, Targets and Backgrounds: Characterization and Representation V, (14 July 1999); doi: 10.1117/12.352939
Show Author Affiliations
Aaron Wilkosz, Nichols Research Corp. (United States)
Bryan L. Williams, U.S. Army Aviation and Missile Command (United States)
Steve Motz, U.S. Army Aviation and Missile Command (United States)


Published in SPIE Proceedings Vol. 3699:
Targets and Backgrounds: Characterization and Representation V
Wendell R. Watkins; Dieter Clement; William R. Reynolds, Editor(s)

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