Multispectral signature modeling

J. Michael Cathcart; Vincent B. Sylvester; J. Michael Baden; Marvin N. Cohen; Gregory K. Williams; Scott L. Robertson

doi:10.1117/12.138293

16 September 1992 Multispectral signature modeling

J. Michael Cathcart, Vincent B. Sylvester, J. Michael Baden, Marvin N. Cohen, Gregory K. Williams, Scott L. Robertson

Proceedings Volume 1700, Automatic Object Recognition II; (1992) https://doi.org/10.1117/12.138293
Event: Aerospace Sensing, 1992, Orlando, FL, United States

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.

Citation Download Citation

J. Michael Cathcart, Vincent B. Sylvester, J. Michael Baden, Marvin N. Cohen, Gregory K. Williams, and Scott L. Robertson "Multispectral signature modeling", Proc. SPIE 1700, Automatic Object Recognition II, (16 September 1992); https://doi.org/10.1117/12.138293

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