Assessment of machine assisted target detection

For the exploitation of aerial and satellite imagery, human 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 analyses 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. 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.