ERNEST: A Semantic Network System for Pattern Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Control and explanation in a signal understanding environment
Signal Processing - Intelligent systems for signal and image understanding
Pattern Recognition Letters
Automatic mapping of settlement areas using a knowledge-based image interpretation system
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
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Automatic interpretation of remote sensing data gathers more and more importance for surveillance tasks, reconnaissance and automatic generation and quality control of geographic maps. Methods and applications exist for structural analysis of image data as well as specialized segmentation algorithms for certain object classes. At the Institute of Communication Theory and Signal Processing focus is set on procedures that incorporate a priori knowledge into the interpretation process. Though many advanced image processing algorithms have been developed in the past, a disadvantage of earlier interpretation systems is the missing combination capability for the results of different - especially multisensor - image processing operators. The system GEOAIDA presented in this paper utilizes a semantic net to model a priori knowledge about the scene. The low-level, context dependent segmentation is accomplished by already existing, external image processing operators, which are integrated and controlled by GEOAIDA. Also the evaluation of the interpretation hypothesis is done by externalop erators, linked to the GEOAIDA system. As a result an interactive map with user selectable level-of-detail is generated.