Proceedings, XXth congress: Proceedings, XXth congress

Altan, M. Orhan

Bibliographic data

Multivolume work

Persistent identifier:: 1663674213

Title:: Proceedings, XXth congress

Sub title:: Istanbul, 12 - 23 July 2004

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 1663674213

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.; Auch bezeichnet als XXth International Congress for Photogrammetry and Remote Sensing

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Document type:: Multivolume work

Volume

Persistent identifier:: 166368779X

Title:: Proceedings, XXth congress

Scope:: IV, 226 Seiten

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 166368779X

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(35,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

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

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

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:: PHOTOREALISTIC BUILDING MODELING AND VISUALIZATION IN 3-D GEOSPATIAL INFORMATION SYSTEM Yonghak Song, Jie Shan

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 the building models, is used; while ground images collected from handheld cameras are used for wall textures. 3.1 Roof Texture The scanned aerial photo is used to create roof texture. To avoid many small image files, all building roof objects in the study area are associated to their texture images at one time based on the photogrammetric principle. The collinearity equations are involved in this calculation for image data retrieval. However, it is not efficient to associate the texture image to the roof object with rigid photogrammetric model every time when we display the building model. To solve the problem, we generated and used the ortho-rectified image in which the image values have the same coordinates system as building roof model. After that, we can define the relationship between images and 3-D building objects directly for texture mapping. The location of the image segment for a building roof texture in an aerial image and orientation are most important parameters to map the texture. In this paper, an ortho-rectified image, which has contents only inside each building boundary and contains null outside, is generated as building roof texture. This is accomplished by enhancing current ArcGIS with advanced photogrammetric capabilities to handle model based true ortho rectification. Figure 3 presents an example of such generated ortho image for roof texture. (b) Figure 3. Texture Images for Roofs (a) and Walls (b) 3.2 Wall Texture The building wall pictures were taken on the ground to create the wall textures with a digital camera and a 35mm roll film camera. In case of roll film camera, we got the image after 18 developing and scanning using a desktop scanner. For the wall texturing, we use a different way with roof texturing. Each wall is related to one individual image file. In addition, the wall texture is directly corresponding with view plane without 3-D building model. The detail methodology about the correspondence between the wall objects and image files and the association with view plane will be discussed in next section. 4. PHOTOREALISTIC MODELING Once the geometric models and texture images are prepared, the photorealistic building model can be generated using the ArcObjects programmed and embedded in ArcGIS for this study. ArcObjects are a set of computer objects specifically designed for programming with ArcGIS Desktop applications base on the object-oriented programming (Zeiler, 2001). We use such development to automatically select wall texture images and associate them to the geometric building model. Figure 4 illustrates the general procedure for generating a photorealistic model by integrating all necessary data. 3D Geometric model Ortho-rectified Roof Texture Ground Image Photo-realistic 3D Model Figure 4. Photorealistic 3-D Model Generation with Data Integration After generating the 3-D geometric building model, the building roof can be textured using the ortho-rectified image segment that is generated with aerial photo image. The assignment of texture image to the right building objects is accomplished by using the geometric relations between 2-D coordinates of texel and 3-D coordinate of building model through the orthographic projection equation. Twelve parameters are required to represent the 3-D object on the 2-D view plane as shown the following homogeneous transform matrix (Hearn, et, al, 1994). In this matrix, 2 and v are pixel coordinates in screen, X, Y, and Z object coordinates, R rotation matrix with element Ri, / shift, @&% 44, and v intrinsic parameters and s and 7 perspective parameters.

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