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This study aims to automatically determine changes in urban areas from multi-temporal, multi-scale, and multi-platform remotely sensed data as a base for estimating changes in population. The data set...
Airborne SAR systems allow a flexible ground mapping with high geometric resolution, independent from daytime and weather conditions. This offers the opportunity of using this technology for the ana...
The increasing resolution of SAR data opens the possibility to utilise this data for scene interpretation in urban areas. Different SAR specific phenomena like foreshortening, layover, shadow and mul...
In this contribution the way algorithms for object detection in urban areas are integrated into the knowledge-based image interpretation system GeoAIDA is described. Generic scene models are used for...
The availability of Shuttle Radar Topography Mission (SRTM) data opens the possibility to characterize urban areas by means of this sensor all over the world. In particular, the global digital elevat...
This paper describes an algorithm which aims at deriving digital terrain models (DTM) from dense digital elevation models (DEM). This algorithm takes place in a processing chain for building detectio...
In this paper, a new method for the automated generation of 3D building models from directly observed point clouds generated by LIDAR sensors is presented. By a hierarchic application of robust inte...
We consider the problem of resampling for the data obtained by laser scanning on an irregular grid. The data obtained by airborne laser scanning are scattered, and the resampling on a regular grid is...

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