3 D-City Models : Automatic and Semiautomatic Acquisition Methods

3D-city models are becoming an important tool for town planning. Photogrammetry appears to provide the only economic means to acquire truly 3D city data. The paper discusses the current status of automatic and semiautomatic acquisition method. Research in automatic methods for building extraction being increasingly intensive in the last few years has lead to promising results, however, still lacks the performance needed for practical applications. Semiautomatic acquisition methods rely on the ability of the operator to intelligently interpret and select the required information and appear to be ripe for practical implementation.

[1]  Armin B. Cremers,et al.  Extracting Buildings from Aerial Images Using Hierarchical Aggregation in 2D and 3D , 1998, Comput. Vis. Image Underst..

[2]  Wolfgang Förstner,et al.  Automatically assessing the geometric and structural quality of building ground plans , 1999 .

[3]  R. Nevatia,et al.  The MURI Project for Rapid Feature Extraction in Urban Areas , 1998 .

[4]  Olof Henricsson,et al.  The Role of Color Attributes and Similarity Grouping in 3-D Building Reconstruction , 1998, Comput. Vis. Image Underst..

[5]  Hans-Gerd Maas,et al.  Fast determination of parametric house models from dense airborne laserscanner data , 1999 .

[6]  E. Baltsavias,et al.  Integration of image analysis and GIS , 1999 .

[7]  Cordelia Schmid,et al.  Automatic line matching across views , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[8]  Martin Schl,et al.  MULTI-IMAGE MATCHING IN OBJECT SPACE ON THE BASIS OF A GENERAL 3-D SURFACE MODEL INSTEAD OF COMMON 2.5-D SURFACE MODELS AND ITS APPLICATION FOR URBAN SCENES , 1998 .

[9]  C. Brenner,et al.  3D URBAN GIS FROM LASER ALTIMETER AND 2D MAP DATA , 1997 .

[10]  Norbert Haala,et al.  Data fusion for the detection and reconstruction of buildings , 1995 .

[11]  Fiona Lang,et al.  3D-city modeling with a digital one-eye stereo system , 1996 .

[12]  Thomas Läbe,et al.  Integration Of Automatic Processes Into Semi-Automatic Building Extraction , 1999 .

[13]  Felicitas Lang Geometrische und semantische Rekonstruktion von Gebäuden durch Ableitung von 3D-Gebäudeecken , 1999 .

[14]  Wolfgang Förstner,et al.  Semantic Modeling for the Acquisition of Topographic Information from Images and Maps: Smati 97 , 1997 .

[15]  Luc Van Gool,et al.  Automatic Modeling and 3D Reconstruction of Urban House Roofs from High Resolution Aerial Imagery , 1998, ECCV.

[16]  Helmut Mayer,et al.  Automatic Object Extraction from Aerial Imagery - A Survey Focusing on Buildings , 1999, Comput. Vis. Image Underst..

[17]  Andrew Zisserman,et al.  Automatic reconstruction of piecewise planar models from multiple views , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[18]  Ansgar Brunn,et al.  Hierarchical Bayesian nets for building extraction using dense digital surface models , 1998 .

[19]  Henri Maître,et al.  Segmentation of urban scenes from aerial stereo imagery , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[20]  HELMUT MAYER Trends and Perspectives of Automated GIS Data Collection , 2000 .

[21]  Ramakant Nevatia,et al.  Including interaction in an automated modelling system , 1995, Proceedings of International Symposium on Computer Vision - ISCV.

[22]  H. Maas Closed solutions for the determination of parametric building models from invariant moments of airbo , 1999 .

[23]  G. Giraudon,et al.  High-resolution Stereo for the Detection of Buildings , 1995 .

[24]  Roman Englert Acquisition of Complex Model Knowledge by Domain Theory-Controlled Generalization , 1999, Computing.

[25]  Roman Englert,et al.  One-Eye Stereo System for the Acquisition of Complex 3D Building Descriptions , 1996 .

[26]  R. Nevatia On evaluation of 3-D geospatial modeling systems , 1999 .