A knowledge-based approach to the detection and interpretation of changes in aerial images

Traditional approaches to change detection do not give information about the cause of changes and, therefore, do not help to automatically evaluate their significance and relevance with respect to a given analysis task. In this contribution the authors present a knowledge-based approach to the problem of interpreting changes which allows one to compare information on a symbolic image description level rather than on a pure data level. The authors introduce a system architecture and discuss the structure and function of its main three components