Automatic Object Extraction from Aerial Imagery – A Survey Focusing on Buildings Helmut Mayer Chair for Photogrammetry and Remote Sensing, <s> The Fusion of Data and of Algorithms <s> For automatic building extraction, the need of the fusion of several image understanding cues has been emphasised. In this paper, the fusion of a stereoscopic (pyramidal matching) and a monoscopic technique (building detection) was investigated. In the fusion technique proposed, building detection output is used as boundaries of height interpolation and pyramidal matching output as the source of height information. After height interpolation, buildings are reconstructed in 3D space. This fusion technique was tested with several examples and proved to be very powerful. The results of this paper support the role of fusion in more complete image understanding. <s> BIB001 </s> Automatic Object Extraction from Aerial Imagery – A Survey Focusing on Buildings Helmut Mayer Chair for Photogrammetry and Remote Sensing, <s> The Fusion of Data and of Algorithms <s> In this paper we present a method to generate three-dimensional building hypotheses in dense urban areas using simultaneously scanned maps and aerial images. This technique relies on various informations extracted from the scanned map on different features like the road network, the urban blocks and the buildings. These features are used to guide the analysis of a disparity image calculated with a stereo pair of aerial images. Two different methods are proposed for the detection of the buildings. They basically differ from each other by the reliability they give to the different features extracted from the map. The effectiveness of this approach is demonstrated using complex imagery over large and dense urban areas presenting a large variety of landscapes. <s> BIB002
The Use of Aspects  , i.e., the sequence 3D-points ) building-part ) building ) matching of building-parts to image primitives, allows for a direct transition from image to object model and vice versa. A modeling based on aspects as described in Subsection 4.1 is a prerequisite for this.        BIB002  BIB001 are a little unprecise and unreliable, as especially vegetation is often mixedup with the buildings. Therefore, the results are used for applications with not too high requirements such as telecommunication planning or as robust approximation for further extraction using image information.