DocumentCode
2028795
Title
Model Analysis Geometry Imagery Correlation Tool Kit (MAGIC-TK) for Model Development and Image Analysis
Author
Taczak, Thomas M. ; Rundquist, Matthew ; Cahill, Colin P.
Author_Institution
Envisioneering Inc., King George, VA
fYear
2006
fDate
11-13 Oct. 2006
Firstpage
20
Lastpage
20
Abstract
The application of IR signature prediction codes in DoD has been predominantly in two areas: 1.) the development of total signature requirements under a broad set of environmental and operational conditions and 2.) the evaluation of signatures of vessels and signature treatments to ensure the specifications are met. As computing power and IR scene generation techniques have advanced, simulation capabilities have evolved to scene injection into real hardware systems. To capture the real world effects required to accurately analyze search and track algorithms, the fidelity of the complete IR scene has required improvement. New validation methodologies are required to evaluate the accuracy of advanced IR scene generation models. This paper will review some of the approaches incorporated into a new model validation tool that will be able to verify model inputs and quantitatively evaluate differences between measured and predicted imagery.
Keywords
codes; image processing; DoD; IR signature prediction codes; advanced image processing; image analysis; model analysis geometry imagery correlation tool kit; signature treatments; vessels signatures; Algorithm design and analysis; Computational modeling; Geometry; Hardware; Image analysis; Layout; Optical computing; Power generation; Predictive models; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Imagery and Pattern Recognition Workshop, 2006. AIPR 2006. 35th IEEE
Conference_Location
Washington, DC
ISSN
1550-5219
Print_ISBN
0-7695-2739-6
Electronic_ISBN
1550-5219
Type
conf
DOI
10.1109/AIPR.2006.26
Filename
4133962
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