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

ul 2004 ie wall h wall e wall ut 3-D tithe es and section. ed, the ig the or this ifically cations 1). We texture model. iting a uilding segment ment of shed by of texel graphic ired to own the , 1994). Y, and , t shift, spective Ri Rs Ms) 4 X u a, 0 u À t : : Ro RS OR. NEN wlel]0*-. v0 ET 2 : Rey Ro Rot. 11 Z s 0 0 1: 0 > di ; 0 0 0 1 T We can display the 3-D building object with texture conveniently using perspective projection based on viewing angles and scale after the. relationship between building geometric model and ortho-rectified image is prepared by the method mentioned before. The rendering result is shown in Figure 5a, where the ortho-rectified roof image is used as texture and overlaid atop building model in ArcScene. However, this data structure is not adequate to represent the texture for both roof and walls at the same time in ArcScene for display. ArcScene doesn't support the PolygonZ format that we chose for storing geometry model of the buildings to display if it has several patches belong to the same object. Therefore, we cannot use the rendering class of ArcScene for wall texturing although the shapefile contains the geospatial information of vertical walls. They need to be treated separately. (b) Figure 5. Textured Building Roof (a) and walls (b) To display wall textures, we add a graphic layer to represent the texture of vertical wall. That layer is generated only for visualization and has no concern about data structure or query because it doesn't have any attribute data and geospatial data. All information about the vertical walls is contained in the same shapefile that includes the polygon data for the roof. Using the spatial data about building wall in building layer, we create the wall polygon temporarily and associate the texture with that polygon. After that, we get the parameters that relate the texture image with the view plane using the same way as roof texturing and then we change the polygons with texture into graphics and save them. This process is repeated until every wall texture of entire building is generated. The next step is then to link the image file to the appropriate wall. Taking pictures of all building wall in the study area is almost impossible and unnecessary practically. Therefore, we categorized the building walls according to the material, color, and the height-width 19 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 ratio. Three types of walls are used in this study: dark red brick, light red brick, and gray concrete with various sizes. ArcObjects for 3-D photorealistic building modeling can select and assign the wall texture images, which are grouped already, to the temporary wall object automatically. That program calculates the ratio of height and width of image and then compares it with ratio of facade for vertical walls. After it finds out the façades that have most similar ratio, the image is textured on it. Figure 5b is the result with both roof and wall textures being rendered. Once the 3-D model is built, we can load this model into ArcScene or other commercial GIS software that use the shapefile format. The advantage of this is that we are able to use the whole functions which are already existed in the commercial GIS software such as changing view point, shadowing, adding and combining data and so on. The building model can be added to city model and become more realistic using those functions. The entire procedure mentioned above is applied to create a photorealistic virtual model for the Purdue campus in West Lafayette. During this process, the textures for the walls are selected automatically according to the conditions mentioned earlier. After that, the terrain model is generated with aerial picture and DEM (Digital Elevation Model). Finally, the virtual model for Purdue campus shows up through integration of 3D building model and the terrain model. Figure 6 shows the textured buildings in a closer view. This picture shows the image textures fit into the building models well both in the corner area and in the central area of the entire campus model. Figure 7 represents the campus model at the ground level view, while Figure 8 is the panorama of the campus model. The result is more realistic if appropriate texture were selected through manual editing and more texture groups were used according to color and material of walls. In case of landmark such as a tower and a statue and environmental objects such as tree and rock, it might be hard to model and texture them with current data model and texture mapping methods. They need to be modeled separately and will be considered in future study. ( b )Figure 6. A Corner of the 3-D Photorealistic Model for Purdue Campus (a) and Close View of Textured Building (b)

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