High rates of building change in urban area, particularly in the developing countries, call for an efficient and fast technique for mapping the spatial changes for updating and monitoring of existing topographic urban geospatial databases. Most of the existing automatic methods for change detection process are optimized to employ parametric approaches and fuzziness behaviors of objects are neglected. So these methods fail to take the complexities of change detection into account and encounter some problems to achieve the acceptable reliability level in complex cases. In this research an efficient method presented in the form of a strategic framework based on a neuro-fuzzy reasoning system which uses different dataset of the test area to deal with the problem. The potential of proposed method which was based on information fusion technique was evaluated based on a dataset of city of Rasht in Iran.
)