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Proceedings Paper

Evaluation framework for ATR algorithms
Author(s): Stefan Fries; P. Klausmann; U. Jaeger; Gunter Saur; Dieter Willersinn; G. Hofele; Ulrich Thoennessen
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Paper Abstract

This contribution presents a comprehensive framework for algorithm evaluation. When we speak of evaluation, we have in mind that first the performance of an algorithm is measured and then the measured performance is assessed with regard to a given application. The performance assessment is done by applying an assessment function that uses desired values for the performance measures and weighting factors giving the importance of each measure, thus considering the application- specific requirements. The algorithm evaluation's goal is to verify the specification of an algorithm. This specification is mainly given by the definition of the input data and the expected output data, both of which are determined by the application. Prior to the evaluation process the algorithm specification has to be laid down by analyzing the application in order to deduce its requirements as well as by defining the application relevant data sets. To organize this sequence of preparatory steps and to formalize the accomplishment of the evaluation we have developed a 3-phase approach, consisting of the definition phase, the tuning phase, and the evaluation phase. An extensive software toolbox has been developed to support the evaluation process.

Paper Details

Date Published: 24 August 1999
PDF: 11 pages
Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); doi: 10.1117/12.359980
Show Author Affiliations
Stefan Fries, Fraunhofer Institut fuer Informations- und Datenverarbeitung (Germany)
P. Klausmann, Fraunhofer Institut fuer Informations- und Datenverarbeitung (Germany)
U. Jaeger, Fraunhofer Institut fuer Informations- und Datenverarbeitung (Germany)
Gunter Saur, Fraunhofer Institut fuer Informations- und Datenverarbeitung (Germany)
Dieter Willersinn, Fraunhofer Institut fuer Informations- und Datenverarbeitung (Germany)
G. Hofele, Institut fuer Informationsverarbeitung und Mustererkennung (Germany)
Ulrich Thoennessen, Institut fuer Informationsverarbeitung und Mustererkennung (Germany)


Published in SPIE Proceedings Vol. 3718:
Automatic Target Recognition IX
Firooz A. Sadjadi, Editor(s)

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