Albert Baumgartner

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An approach for the automatic extraction of roads ftom digital aeria)-imagery is proposed. It makes use of several versions of the saie aeriaT image with differcnt reso-lutions' Roads ate modeled as a network of intersections and links between these intersections, and are found by a grouping prccess. The context of roads is hierarchically structured into a(More)
Contextual information can facilitate automatic extraction of objects from digital imagery. This paper addresses the use of context for the automatic extraction of roads from aerial imagery. Context is restricted to knowledge about relations between roads and other objects and is hierarchically structured. More specific, context is used to guide road(More)
We propose a new approach for automatic road extraction from aerial imagery with a model and a strategy mainly based on the multi-scale detection of roads in combination with geometry-constrained edge extraction using snakes. A main advantage of our approach is, that it allows for the rst time a bridging of shadows and partially occluded areas using the(More)
In this paper, we present work on automatic road extraction from high resolution aerial imagery taken over urban areas. In order to deal with the high complexity of this type of scenes, we integrate detailed knowledge about roads and their context using explicitly formulated scale-dependent models. The knowledge about how and when certain parts of the road(More)
This paper presents a multi-resolution approach for automatic extraction of roads from digital aerial imagery. Roads are modeled as a network of intersections and links between the intersections. of the image into context regions is done by texture analysis. The approach to detect roads is based on the extraction of edges in a high resolution image and the(More)
Aerial imagery is an important source for the acquisition and update of GIS data. By using digital imagery it is possible to automate some parts of these tasks. In this context this paper proposes a new approach for the automatic update, i.e., verification and extraction, of roads from aerial imagery. The verification process evaluates road axes from GIS(More)
This paper proposes an approach for automatic road extraction in aerial imagery which exploits the scale-space behavior of roads in combination with geometric constrained snake-based edge extraction. The approach not only has few parameters to be adjusted, but for the first time allows for a bridging of shadows and partially occluded areas using the heavily(More)
This paper approaches the problem of road extraction from three different directions. The first is the use of multiple scales. This combines detailed information of fine scale, like the markings, with abstract information of coarse scale, like the road network. The second direction is the extension of the multi-scale modeling with the context, i.e., the(More)