Paper
28 July 1997 Extensibility and other model-based ATR evaluation concepts
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Abstract
This paper introduces concepts that, we hope, will help move the discussion of ATR evaluation in a direction that addresses long standing difficulties associated with getting test results that are meaningful to the program managers as they compare performance across technologies, to the users as they consider applications, and to the developers as they consider alternative approaches to the many ATR challenges. The paper is motivated by the recent need to independently evaluate an ATR system whose design is model-driven, particularly the DARPA/WL moving and stationary target acquisition and recognition program. There are two complementary classes of concepts. One class, which we call performance, includes accuracy, extensibility, robustness, and utility. These performance concepts encourage explicit consideration of the relationship between the test data, the training data, and data from modeled conditions. The other class, which we call cost includes efficiency, scalability, and synthetic trainability. Cost concepts help bring out some of the unique characteristics of the costs associated with ATR design and operation.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Timothy D. Ross, Lori A. Westerkamp, Edmund G. Zelnio, and Thomas J. Burns "Extensibility and other model-based ATR evaluation concepts", Proc. SPIE 3070, Algorithms for Synthetic Aperture Radar Imagery IV, (28 July 1997); https://doi.org/10.1117/12.281559
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Cited by 9 scholarly publications.
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KEYWORDS
Data modeling

Automatic target recognition

Performance modeling

Systems modeling

Model-based design

Synthetic aperture radar

Radar

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