A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital image processing
Automatic object extraction from aerial imagery—a survey focusing on buildings
Computer Vision and Image Understanding
Automated revsion of GIS databases
Proceedings of the 8th ACM international symposium on Advances in geographic information systems
Spatial databases with application to GIS
Spatial databases with application to GIS
Navigating through Hierarchical Change Propagation in Spatiotemporal Queries
TIME '00 Proceedings of the Seventh International Workshop on Temporal Representation and Reasoning (TIME'00)
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In this paper we propose an automatic updating system for urban vector maps that is able to detect changes between the old dataset (consisting of both vector and raster maps) and the present time situation represented in a raster map. In order to automatically detect as much changes as possible and to extract vector data for new buildings we present a system composed of three main parts: the first part detects changes between the input vector map and the new raster map (based on edge matching), the second part locates new objects (based on color segmentation), and the third part extracts new objects boundaries to be used for updating the vector map (based on edge detection, color segmentation and adaptive edge linking). Experiments on real datasets illustrate the approach.