24 August 1999 Assessment of machine-assisted target detection
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Abstract
For the exploitation of aerial and satellite imagery, human military photo interpreters need support by automatic image analysis components to meet the requirements of large data set analysis under strong time constraints. Extending the approaches of performance analysis of automatic target detection, a concept and an experimental study for the assessment of machine assisted vehicle detection is presented. This evaluation pursues the following goals: Extraction of a usability measure in terms of algorithm performance combined with user-oriented parameters. Secondly, an extraction of requirements for the image exploitation process concerning the algorithm performance, the man-machine interface and the training of the photo interpreters. A performance analysis concept for vehicle detection algorithms is presented as well as an experimental setup of the whole interactive exploitation process. This setup has been applied in an experiment with more than 100 real images and more than 40 military photo interpreters.
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P. Klausmann, P. Klausmann, E. Peinspipp-Byma, E. Peinspipp-Byma, Wolfgang Roller, Wolfgang Roller, Gunter Saur, Gunter Saur, Dieter Willersinn, Dieter Willersinn, } "Assessment of machine-assisted target detection", Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); doi: 10.1117/12.359979; https://doi.org/10.1117/12.359979
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