Aggregation evaluation of a fusion system devoted to image interpretation

Information fusion has been studied in various domains of computer science and engineering, and these techniques have been used increasingly. Fusion systems have become, over the time, complex systems integrating information extraction; their representations in an appropriate space, their combinations and their interpretations. The performance evaluation of such systems has become a real problem. The choices of methods and parameter values have a significant impact on the quality of the results. A global evaluation of the fused results do not allow the end-users to adjust the numerous parameters. We propose a local approach to evaluate the mission completeness of the fusion system subparts. In this paper, we focus on the formulation of the mission of fusion subparts and we measure their degree of achievement. The aim is to show to the end-users which subparts do not completely achieve the functionality they were designed for.