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Proceedings Paper

Multispectral signature modeling
Author(s): J. Michael Cathcart; Vincent B. Sylvester; J. Michael Baden; Marvin N. Cohen; Gregory K. Williams; Scott L. Robertson
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Paper Abstract

Signature modeling for multispectral applications requires careful consideration of several factors to insure a self-consistent description of the scene as viewed by the various sensors. These factors include geometric descriptions, scenario dynamics, and environmental variables. Recent work at the Georgia Tech Research Institute (GTRI) addressed several of these issues as part of a research program into object recognition for Air Force applications. One phase of this research produced a flexible and computationally efficient software environment for the generation of multispectral signatures of objects. A related effort on multispectral scene simulation addressed the complementary issue of creating a common background scene for use in dual mode (radar and infrared wavebands) applications. The paper discusses both programs and presents results from the signature and simulation models.

Paper Details

Date Published: 16 September 1992
PDF: 9 pages
Proc. SPIE 1700, Automatic Object Recognition II, (16 September 1992); doi: 10.1117/12.138293
Show Author Affiliations
J. Michael Cathcart, Georgia Institute of Technology (United States)
Vincent B. Sylvester, Georgia Institute of Technology (United States)
J. Michael Baden, Georgia Institute of Technology (United States)
Marvin N. Cohen, Georgia Institute of Technology (United States)
Gregory K. Williams, Georgia Institute of Technology (United States)
Scott L. Robertson, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 1700:
Automatic Object Recognition II
Firooz A. Sadjadi, Editor(s)

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