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
International Journal of Computer Vision
3-D reconstruction of urban scenes from aerial stereo imagery: a focusing strategy
Computer Vision and Image Understanding
Scale-Space Theory in Computer Vision
Scale-Space Theory in Computer Vision
Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation
International Journal of Computer Vision
Local Appropriate Scale in Morphological Scale-Space
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
A Knowledge-Based System for Context Dependent Evaluation of Remote Sensing Data
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Extraction of Curved Lines from Images
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
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We introduce the knowledge-based image interpretation system GeoAIDA and give examples for an image operator, extracting trees from aerial imagery. Moreover we present a generic grouping approach, based on the Relative Neighborhood Graph. The application of the tree operator to a test site shows that the introduced approach for the delineation of trees using Active Contour Models leads to good results. The grouping algorithm is used in order to identify building rows. In the paper we shortly describe the theory of the image operator, and the performance of the whole system is demonstrated by means of examples. Results from a test area show that the information about building rows can be used for the enhancement of the building reconstruction.