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High-resolution remote sensing images accelerate the development of information extraction and 3D city reconstruction. This paper concentrates on object-oriented methods to solve building extraction p...
Clustering spatial data can be interpreted as a segmentation or classification process for finding meaningful patterns in geospatial databases. Such patterns can be used to adapt further algorithms to...
In this paper we propose to link Markov Chain Monte Carlo – MCMC in the spirit of (Dick, Torr, and Cipolla, 2004) with information from Implicit Shape Models – ISM (Leibe and Schiele, 2004) and with P...
Within the paper the automatic matching of existing GIS data to airborne SAR scenes for georeferencing is discussed. For this purpose simulated SAR images are generated based on the available GIS obje...
The automated interpretation of aerial image data is a task with increasing significance for several applications, e.g. quality control and automatic updating of GIS data, automatic land use change d...
The interpretation of remote sensing data is a complex task because of the high variability of the image material under investigation. At the Institute of Communication Theory and Signal Processing p...
The basic motivation for this work is the fact that interoperability of GIS in general and data exchange in particular is still a challenging task in industry and research. Nowadays data exchange is s...
The automatic interpretation of aerial and satellite imagery is one of the main research tasks in photogrammetry and related disciplines. The primary goal is the automatic extraction of visible, spati...
Annual Average Daily Traffic (AADT) maps show, in a comprehensive way for expert as well as non-experts, the evolution of the relatively recent past (1965) until the most current image (2005). They he...
Central Africa contains the second largest area of contiguous moist tropical forest of the world. In the framework of the Observatory of Forests in Central Africa (OFAC) and the Forest Resources Ass...

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