Automatic Object Extraction from Aerial Imagery – A Survey Focusing on Buildings Helmut Mayer Chair for Photogrammetry and Remote Sensing, <s> Levels of Abstraction and Scale <s> Applications such as landscape planning, environmental monitoring, and flight and driving simulators have a high demand for realistic landscape models. Quantity, precision and the type of models ask for methods which automate the model generation by evaluation of remote sensing data. The presented modelling system AIDA tackles the demand for efficient representation and high realism by integrating a priori knowledge about the appearance of the objects in the scene to drive object specific constraints for 3D reconstruction. This requires an image interpretation to assign a meaning to the objects in the scene. For explicit representation of the declarative and procedural knowledge a problem independent formalism based on semantic nets and rules is used. It provides both a data driven and model driven control strategy. <s> BIB001 </s> Automatic Object Extraction from Aerial Imagery – A Survey Focusing on Buildings Helmut Mayer Chair for Photogrammetry and Remote Sensing, <s> Levels of Abstraction and Scale <s> We present a surface texture and microstructure extraction system to provide added realism in visualization and virtual reality applications. The system uses multiple images, 3-D models and camera information, in addition to knowledge about man-made structures, to cope with problems such as perspective distortion, data deficiency, and corruption caused by shadows and occlusions. Combined with the Ascender site modeling system and scene rendering algorithms, the system is typically useful for urban site model refinement and visualization. <s> BIB002 </s> Automatic Object Extraction from Aerial Imagery – A Survey Focusing on Buildings Helmut Mayer Chair for Photogrammetry and Remote Sensing, <s> Levels of Abstraction and Scale <s> Thank you very much for downloading semantic modeling for the acquisition of topographic information from images and maps smati97. Maybe you have knowledge that, people have search hundreds times for their chosen readings like this semantic modeling for the acquisition of topographic information from images and maps smati97, but end up in malicious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they juggled with some harmful virus inside their computer. <s> BIB003
The Geometric/Topologic Neighborhood   BIB001  , i.e., the spatial context, describes the spatial arrangement of objects. For example, shadows can be used to detect buildings. Intersections or cars have a direct relation to a road, whereas trees or buildings are needed because they cast shadows or occlude roads on one hand, and because they form rows parallel to the road on the other hand.  BIB003 BIB002     , also called substructures can be used as local evidence for objects. Typical examples comprise cars on the road, doors, or windows in the Automatic Object Extraction from Aerial Imagery 14 wall, as well as dormer windows or vents on the roof. These objects show a characteristic arrangement among each other and regarding the object they are part of. Often it is useful to rectify the images before the extraction of the part structures to get a standardized situation.