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DEVELOPMENT OF A METHOD NETWORK FOR OBJECT RECOGNITION USING DIGITAL SURFACE MODELS

While the integration of data has been performed on various levels for quite a time, the logical consequence - the integration of methods - has been rather neglected especially in the context of the analysis of remotely sensed data. On the other hand the present way of combining methods is partially responsible for unsatisfying results which have to be noticed for instance for object recognition processes. Hence, goal of the paper is to demonstrate the respective drawbacks of currently applied linear sequence approaches, to present general design concepts for alternative method networks, and to describe a corresponding implementation for the task of object recognition based on data of Digital Surface Models. 1. MOTIVATION