Systems for data processing, anaylsis and representation

Allam, Mosaad; Plunkett, Gordon

Bibliographic data

Monograph

Persistent identifier:: 1067490280

Title:: Systems for data processing, anaylsis and representation

Sub title:: ISPRS Commission II Symposium : June 6 - 10, Ottawa, Canada

Scope:: 1 Online-Ressource (XX, 530 Seiten)

Year of publication:: 1994

Place of publication:: Ottawa

Publisher of the original:: The Surveys, Mapping and Remote Sensing, Natural Resources Canada

Identifier (digital):: 1067490280

Illustration:: Illustrationen

Signature of the source:: ZS 312(30,2)

Language:: English

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

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

Editor:: Allam, Mosaad; Plunkett, Gordon

Corporations:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Adapter:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Founder of work:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Other corporate:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

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:: Monograph

Collection:: Earth sciences

Chapter

Title:: [Tuesday, June 7, 1994]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: [Session D-2 WG II/2 - Hardware and Software Aspects of GIS - Part A]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: [3D] VIRTUAL GIS, A NEW REALITY By Nickolas L, Faust [...] Dharmajyoti Bhaumik [...] Ryan Woodard [...] Dung Vu [...]

Document type:: Monograph

Structure type:: Chapter

user base the his ages ility tally data The oves the ruly | set play e in “the full 'hile data to: 2 atial be lace h‘a d (a logy way shed and very ling, lerse nust GIS | the uery mic view the lace and w of ) the view point. At any time, the user may query any point within the perspective image and retrieve geographic coordinates, database coordinates, the values of the color in rgb, and the values or attributes of associated GIS layers at that exact same location. When multiple GIS raster layers are available, the user can select either the original true color image, the original GIS layers (such as landcover), or analysis layers such as wood duck habitat to drape over the terrain. The user can then check the validity of the layers by the way they correspond to the landscape form. For example, Landsat image data in true color may be overlaid with Corps of Engineers 100 year flood plan information with the result being shown in perspective. If the flood plain does not correspond to topographic lows near the river, then the observer will immediately pick out the conflict. VI. THE OLYMPIC VILLAGE TEST CASE Georgia Tech assisted the Atlanta Organizing Committee in winning the 1996 Olympic games for the city of Atlanta. The campus of Georgia Tech will become the Olympic Village, and many activities are now being planned for the campus. GTRI has constructed a high resolution geographic data set based on true color aerial photography, 2 foot contour elevation data from planning maps, and spatial data sets for building, parking lot, road, and utilities locations. These data have been supplemented by attribute information for all major buildings on the campus. For each building, attributes were stored showing the name of the building, the use of the building, the height of the building, and the number of floors in the building. Roads were associated with road names. In addition to the GIS attribute information, the footprint of each building was located as well as the location and size of every tree on the campus. For major buildings on the Tech campus, photographs were take of as many sides of the building as could be seen without major vegetation obscuration. Buildings other than the major 119 buildings were given a generic brick texture which is characteristic of many buildings on the campus. The original data base of the Georgia Tech campus is being extended towards Peachtree Street on the east and downtown on the south. Similar photographs and information will be gathered on most of the buildings by graduate city planning students. After the individual building photographs have been taken, and correlated with the GIS attributes given above, the images are scanned into digital form and processed to remove optical and perspective distortion. Figure 1 shows the Georgia Tech campus in a perspective view with no objects displayed. Figure 2 shows a wireframe rendering of the campus with building and tree locations shown. Figure 3 shows the campus with phototexture buildings and trees. The black lines on figure 3 are a crosshair :cursor. The College of Computing was identified by the system as being located at the crosshair position. Figure 4 gives the name of the building, its primary use, the number of floors in the building, and the building height. Geographic coordinates of the building are also reported. By moving a mouse cursor within the perspective image to the side or the top of a selected building and pressing the left button, the name of the building and all its attributes are displayed on a popup information screen. This interaction is dynamic so attributes of a number of buildings can be queried at the same session. VII. CONCLUSIONS Many of the functions that image analysis and GIS systems perform today would not have seemed possible when large jobs were submitted to mainframes for overnight computer runs. We used to justify the overnight turnaround by saying that it gave one time to think about the

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