XVIIIth Congress: XVIIIth Congress

Kraus, Karl; Waldhäusl, Peter

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Multivolume work

Persistent identifier:: 1667435949

Title:: XVIIIth Congress

Sub title:: Vienna, Austria 1996

Type of content:: Konferenzschrift

Year of publication:: 1996

Place of publication:: Vienna

Publisher of the original:: Austrian Society of Surveying and Geoinformation

Identifier (digital):: 1667435949

Reihe:: International archives of photogrammetry and remote sensing

Language:: English

Editor:: Kraus, Karl; Waldhäusl, Peter

Author:: International Society for Photogrammetry and Remote Sensing, 18.; 1996; Wien

Contributor:: International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1667437070

Title:: XVIIIth Congress

Scope:: 230 Seiten

Type of content:: Konferenzschrift

DOI:: 10.14463/KXP:1667437070

Year of publication:: 1996

Place of publication:: Vienna

Publisher of the original:: Austrian Society of Surveying and Geoinformation

Identifier (digital):: 1667437070

Illustration:: Illustrationen, Diagramme

Reihe:: International Archives of Photogrammetry and Remote Sensing (31,B1)

Signature of the source:: ZS 312(31,B1)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist anhand des Copyrightjahrs ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Kraus, Karl; Waldhäusl, Peter

Author:: International Society for Photogrammetry and Remote Sensing, 18.; 1996; Wien

Contributor:: International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: THE GEOMETRIC DESIGN OF A VEHICLE BASED 3 LINE CCD CAMERA SYSTEM FOR DATA ACQUISITION OF 3D CITY MODELS Markus Maresch, Peter Duracher

Document type:: Multivolume work

Structure type:: Chapter

A different semi-automatic approach for building extraction and photo texture deduction from aerial images is shown in [LLS95] and other publications from the University of Bonn. 1.3 Modeling Photo textured 3D CAD models (see figure 1) have so far been created by hand at great expense [GMB95]. Much work has to be accomplished manually [GMB95] in the generation process of a photo-realistic 3D CAD model. Transferring GIS data results in building-boxes, which are rendered with tex- tures from aerial photography and images taken from street level. The fusion process requires extensive manual work for the modeling, thus, a high degree of detail (bay-windows, balconies,. . .) is only being achieved in experimental and small models. 1.4 Motivation According to the previous discussion, the main objective of ongoing work is to find methods for semiautomatic or au- tomated data acquisition and object reconstruction. This is valid for reconstruction from both aerial photographs and ter- restrial imagery. The support of an intelligent fusion of input data, the au- tomatic recording of high quality photo texture of building facades and at least tools for the semiautomatic creation of geometric models of facades have to be provided. We will focus on the design of a system for the automatic recording of building facades in this report. 2 ISSUES OF THE DATA ACQUISITION 2.1 Principal recording configuration The principal design of the system is shown in figure 2. A vehicle based recording unit is moved laterally along a build- ing facade. The 3 vertical CCD-lines are recording the facade continuously and simultaneously under different angles in or- der to allow stereo reconstruction and occlusion elimination in a subsequent processing step. Figure 2: Principal recording configuration: The as- sumed coordinate system, the line sensors and the area sensor are shown. The car's center of mass is indicated by m and the vertical outrigger is denoted by or. An additional area sensor is indicated in figure 2 to support the automatic orientation and camera tracking process. Odo- metric sensors and a laser distance meter support an algo- rithm for the reconstruction of the recording path. For a more detailed description of the complete implementa- tion see [Mar95b] or [MSh96]. AN 10m A. | Mp Figure 3: Recording constraints in urban environment in practice: One distance corresponds to the old part of town, and the other to the area around the center of a city with wider streets. Two examples of recording constraints faced in urban envi- ronment are shown in figure 3. One distance corresponds to a narrow older part of a town, and the other to areas around the center of a city with wider streets. The distance between the optical center and the facade usu- ally is limited by the narrowness of streets and the height of the outrigger is limited by the overhead contact line of street cars and an unacceptable amount of oscillation. Figure 4: CCD platform: The relative orientation of 3 linear CCD arrays in one con-focal plane is shown. The shift of the center of the lines from the optical center also can be observed. The following angles were chosen: $o — 20?, ko ~ 10°. International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B1. Vienna 1996 The s [Hof8: metric ence t smoót ture, | path : tical à The s tical e figure advan 2.2 Ther fined | in pra orient qualit Some systen conce An ex lems r The c quiren pleme speed far be

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