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We introduce a prototypical methodological framework for a place-based GIS-RS system for the spatial delineation of place while incorporating spatial analysis and mapping techniques using methods from...
Object detection and recognition from LiDAR (Light Detection And Ranging) data has been a research topic in the fields of photogrammetry and computer vision. Unlike point clouds collected in well-cont...
The hybrid classifier is presented in combination of expert system and object oriented approach, for which increased information is added for classification and improve the accuracy. Instead of the or...
Traditional approaches to accuracy assessment are inadequate for object oriented image processing. We tested some measures to assess the accuracy of object based image segmentation in a supervised con...
The unique image data of the High Resolution Stereo Camera (HRSC) on Mars Express enable for systematic derivation of Digital Terrain Models (DTMs) and orthoimages. Consequently, several photogrammetr...
The paper proposes an object-oriented spatio-temporal data model based on space-time composite by taking advantage of high topological representation ability of the space-time composite data model and...
Digital spatial data are underlying strong temporal changes. The typical approach of updating these changes is to check the data manually by superimposing them on up-to-date orthoimages from aerial or...
Many applications of remote sensing – like, for example, urban monitoring – require high resolution data for a correct determination of object geometry. These spatial high resolution image data contai...
In this paper, techniques for an automated extraction, classification and modelling of 3D objects will be presented. They use solely laserscanning derived digital elevation models as data basis. Tre...
Very high resolution (VHR) DSMs (digital surface models) derived from stereo- or multi-stereo images from current VHR satellites like WorldView-2 or Pléiades can be produced up to the ground sampling ...
The Direct Linear Transformation (DLT) model requires 3-D object space control points to estimate the full set of its parameters that can be used to recover exterior orientation parameters. The use ...
3D object reconstruction that is based on an overdetermined set of control points is considered in this contribution. The crucial difficulty of quality assessment of 3D reconstruction is nonlin...
The line-photogrammetric bundle adjustment is a new approach for the 3D reconstruction of polyhedral objects, with several advantages. Observing lines instead of points and integration of additional o...
The main task in photogrammetry is the reconstruction of three-dimensional objects - size, shape, position or geometric distance - from analog or digital images. In a first step the camera position an...

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