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:: VIRTUAL ENVIRONMENTS IN PLANNING AFFAIRS Getting closer to geographic data, a better way! Mohammed Abdul Mannan, Bogdahn Juergen.

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 concept of the test is fairly simple but there are some more difficult points in programming, which will not be discussed in this paper. To test if the representative is inside of the polygonal outline, it has to be connected with a very far point by a line. Now the intersection points of this line with the outline are counted. Even number of intersections means the point is outside, an odd number of points means point is inside. This test works also if the geometry has got void areas inside (Finley, 1998). 2.5 Select a building To select a building the pick()-method of the Cortona Viewer is used. This pick() method works with the "ray" concept. When the user clicks into the scene the coordinates of the pointer are taken and a ray is sent through this position. The first object hit by the ray is the result of the pick() method. A pointer to this object is returned and you have access to the object and its fields. Now it is possible to read the DEF-Name of the returned object and find the corresponding land registry dataset in the connection table. With the dbf index the attribute information can be read from the dbf dataset and be displayed in a dialog (see Fig.2), the scene itself or used in any other way, for example, written to a file. This method enables the user to use the 3D scene as an interface to the attribute data. So you can navigate through the scene and get information about any object, which has connection information. Though the connection is realized on a system working with files, it is possible to get geometry and attribute information from a database to do the connection. In this case a connection table is not necessary, because the DEF-Name of the 3D object can be add as a column to the database table. So it is possible to find object attributes by a SQL query. The connection to the database could be realized by ODBC in case of Visual C++, for example. Figure 2. Selection and attribute display of the building (© Stadtmessungsamt Stuttgart) 2.6 Surface Visualization The surface information is given as a TIN in DXF format. This format contains much information, which is not needed for visualization, like layer numbers, line colors, etc. Therefore it was parsed into a text file, which contains only the triangle information. 24 To visualize the surface a rectangle is calculated around the area with buildings. Then all triangles of the TIN, which are inside of this rectangle are selected and converted into an IFS- Node. We are working on a concept to create IFS-Nodes for each parcel. At the moment, the surface is only one object so the connection to parcel attributes is not possible. To get one object for one parcel, which would be selectable, it is necessary to intersect the 2D parcel outline with the TIN to get the parts of the parcel for each triangle, as shown in figure 3. Figure 3. Clipping of TIN based on parcel polygon These "result" parts (polygons) can be transferred into an IFS- Node. To visualize the surface for the buildings in scene, all parcel objects for the “building”-rectangle have to be created and visualized in the scene. In this way you can get a surface consisting of selectable parcel objects. The outline of the parcel is taken from the land registry dataset and it is connected to attribute data, so the index of the attribute data record can be used as DEF-Name for the created IFS-Node. In that way you have a connection between 3D object and attributes of the land registry. To select a parcel object the pick() method is used again, and it will return the result object, and with the dbf index stored in the DEF-Name field the attributes can be read and displayed. 2.7 Query example To show a kind of query or thematic map a small query example was realized. The query functionality can be extended with useful functions, but this test.software only wants to show what is possible. In this query example the user can color the building walls according to the use of the building, so when the user navigates through the scene, he can differentiate buildings with their colors for example university buildings in blue, offices in green etc, (see Fig.4). To color the buildings a text file was created containing a table, which connects a use with a RGB triple (use-color table). To color all buildings in the scene the connection table is used to find the corresponding data records to the buildings, the use of the object is read from the data record, the corresponding color is read from the use-color table and a VRML Viewer interface function is used to color the building with this color.

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