Paper
1 September 1990 Generation of signature databases with fast codes
Robert A. Bradford, Arthur E. Woodling, James S. Brazzell
Author Affiliations +
Abstract
Using the FASTSIG signature code to generate optical signature databases for the Ground-based Surveillance and Traking System (GSTS) Program has improved the efficiency of the database generation process. The goal of the current GSTS database is to provide standardized, threat representative target signatures that can easily be used for acquisition and trk studies, discrimination algorithm development, and system simulations. Large databases, with as many as eight interpolalion parameters, are required to maintain the fidelity demands of discrimination and to generalize their application to other strateg systems. As the need increases for quick availability of long wave infrared (LWIR) target signatures for an evolving design4o-threat, FASTSIG has become a database generation alternative to using the industry standard OptiCal Signatures Code (OSC). FASTSIG, developed in 1985 to meet the unique strategic systems demands imposed by the discrimination function, has the significant advantage of being a faster running signature code than the OSC, typically requiring two percent of the cpu time. It uses analytical approximations to model axisymmetric targets, with the fidelity required for discrimination analysis. Access of the signature database is accomplished through use of the waveband integration and interpolation software, INTEG and SIGNAT. This paper gives details of this procedure as well as sample interpolated signatures and also covers sample verification by comparison to the OSC, in order to establish the fidelity of the FASTSIG generated database.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert A. Bradford, Arthur E. Woodling, and James S. Brazzell "Generation of signature databases with fast codes", Proc. SPIE 1311, Characterization, Propagation, and Simulation of Infrared Scenes, (1 September 1990); https://doi.org/10.1117/12.21835
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KEYWORDS
Databases

Infrared signatures

Infrared radiation

Sensors

Error analysis

Long wavelength infrared

Algorithm development

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