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Mobile Mapping (MM) has gained significant importance in the realm of high-resolution data acquisition techniques. MM is able to record georeferenced street-level data in a continuous (laser scanners)...
Self-driving cars and robots that run autonomously over long periods of time need high-precision and up-to-date models of the changing environment. The main challenge for creating long term maps of dy...
The global urbanization constitutes an epochal transformation of the Earth. Since 2007 for the first time in human history more people have lived in cities than in the countryside. According to the Un...
This paper tackles the first step of any strategy aiming to improve the trajectory of terrestrial mobile mapping systems in urban environments. We present an approach to model the error of terrestrial...
As a result of creation and handling of 3D digital map, approach to geographic environment has been revolutionized rendering possible an upgrade dynamic and objective analysis and making-decision. Ou...
The aim of this study was to apply a spectral reflectance approach to account for small amounts of sediment dust in occupied homes. We examined the method’s ability to predict the gravimetric weight ...
Photogrammetric terrain reconstruction from aerial and space stereopairs of images occupies a prominent place in cartography and remote sensing. Stereo vision systems determine depth from two or more...
Numerous studies have used satellite images for mapping urban land cover and land use along with modelling green spaces and surface impermeability. Recently, monitoring the percentage of sealed soils ...
The recent surge in remotely sensed imagery with multi to hyper spectral cubes has made it very difficult to detect features because of the sheer volume of data. In a sense it is locating the needle i...
Combined processing using different sensor types, i.e. for applications like change detection, requires a good geo-referencing. Furthermore the individual sensor properties have to be taken into accou...
At the Institute for Photogrammetry (ifp), Stuttgart University, current research aims at the development of tools and applications for Location Based Services (LBS). As location based access on inf...
Within the paper the applicability of SAR imagery for 3D reconstruction of urban areas will be discussed. Since data collection for this purpose is usually based on stereo imagery or dense point clo...
This paper examines the influence of data fusion and wavelet compression on the automatic classification of urban environments. The principal data used is airborne Daedalus scanner imagery. Laser scan...
Basic research is being performed by a team composed of specialists in photogrammetry, spatial image analysis, remote sensing, computer vision, and visualization, for the purpose of efficiently extrac...
We present a study for the evaluation of the efficiency of context features in object-based land-use classification of urban environments using aerial high spatial resolution imagery and LiDAR data....

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