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Nowadays, a huge archive of data from different satellite sensors is available for diverse objectives. While every new sensor provides data with ever higher resolution and more sophisticated special p...
In its traditional form, photogrammetry has developed a rich suite of procedures for measurement and mapping of natural topographic forms, including low-relief areas as well as mountainous regions. Th...
Spaceborne SAR Differential interferometry (DInSAR) has been used to monitor some geological disasters such as ground subsidence. This paper applies two Permanent Scatterer InSAR(PS-InSAR) techniques ...
We investigate Discriminative Random Fields (DRF) which provide a principled approach for combining local discriminative classifiers that allow the use of arbitrary overlapping features, with ad...
The aim of this study is to explore the relationship between, transport, land-use and air quality and mapping of air pollutants by means of spatial information sciences, which would provide useful inf...
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...
There has been a public recognition among urban planners that greenbelt hold enormous potential for limiting city expansion and improving city ecological conditions. As one mega city all over the worl...
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...
Especially, if very realistic visualisations from pedestrian viewpoints have to be generated, the quality and amount of detail, which is available for urban models generated from aerial data has to ...
Urban land use is an important component in understanding the interactions of urban economic activities with environment as well as urban expansion, and thus it is necessary to simulate such changes...
This paper describes an algorithm framework for building recognition in urban area with laser scanned data (LIDAR) and image sequence. Three image sequences, two oblique photography to buildings’ wa...
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 urban growth and the environmental relationship are several times joint as to the of the urban soil occupation as to the urban area development. The transformation of the several kinds of soil u...
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...

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