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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Languages: English
Types: Unknown
Subjects: Q1, other, T1
This paper discusses recent project work that has been examining how to minimise the digital 3D modelling of urban and rural environments, where remotely sensed data is available. The increasing availability of highly accurate Lidar data offers these opportunities, but currently is not captured so often nor is yet an extensive coverage that it can be relied on to keep VR analogues of real places up to date. This places increasing importance on developing an ‘urban data fusion’ of different types including: Lidar; Digital Elevation Models derived from radar altimetry and similar data (SAR interferometry); real-time video photogrammetry; and thus on standards. 3D models of proposed changes then need to comply with these standards as they emerge.\ud There has been research into the 3D modelling of urban settings and landscapes for visual impact assessment since the early 1980’s. This started by using commercial CAD systems, but has since used GIS in order to generate 3D VR models of urban areas and integrate them with information from various sources into an overall navigable interactive whole. There is found to be an increasing need for tools for integrating different forms of representation or media, and standards for: scalability (levels of detail); movement through space and change over time; for integrating and optimising imported models of proposed change, often emanating from architectural practice; two way links for interactive exchange between a selected view and the source data; and retention of multiple different interpretations or proposals for comparison
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    • [5] Harris, R. Longley, P. (2000) “Data-Rich Models Of The Urban Environment: RS, GIS and 'Lifestyles'” GISRUK 2 0 0 0 C o n f e r e n c e , Y o r k , E n g l a n d (www.casa.ucl.ac.uk/urgent/DataRich.doc)
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    • i Bulmer, D. 2001, How can computer simulated visualizations of the built environment facilitate better public participation in the planning process?, Online Planning Journal, Available at:
    • http://www.casa.ucl.ac.uk/planning/articles61/complanni ng.pdf ii Data-Rich Models Of The Urban Environment: RS,GIS and 'Lifestyles' Rich Harris, Paul Longley University Of Bristol, Gisruk 2000 Conference, York, England
    • iii Bornaz, L. Rinaudo, F. Terrestrial Laser Scanner Data Processing. In proceedings of XXth ISPRS Congress, 12-23 July 2004 Istanbul, Turkey, Commission 5 on line at: http://www.isprs.org/istanbul2004/comm5/papers/608.pd f
    • iv Valanis A. Tsakiri M. Automatic Target Identification for Laser Scanners, In proceedings of XXth ISPRS Congress, 12-23 July 2004 Istanbul, Turkey, Commission 5 on line at: http://www.isprs.org/istanbul2004/comm5/papers/512.pd f
    • v Dowman, I. Integration Of Lidar And Ifsar For Mapping, Invited paper In proceedings of XXth ISPRS Congress, 12-23 July 2004 Istanbul, Turkey Commission II, WGII/2
    • (www.isprs.org/istanbul2004/comm2/papers/104.pdf ) vi ISPRS Annual Report 2000 - Technical Commission Reports
    • vii Enabling Technologies For Urban Aerospace Operations chapter 6 MR1187
    • viii International Workshop on Open Access and the Public Domain in Digital Data and Information for S c i e n c e 1 0 / 1 1 M a r c h 2 0 0 3 , U N E S C O FinalReportUNESCO31July.pdf
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