Remote sensing, Lidar, automated data capture processes & the VEPS project

Richman, A; Hamilton, A; Arayici, Y; Counsell, J; Tkhelidze, B

Abstract

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.
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

Citation

Richman, A., Hamilton, A., Arayici, Y., Counsell, J., & Tkhelidze, B. Remote sensing, Lidar, automated data capture processes & the VEPS project. Presented at 9th International Conference of Information Visualisation, London, UK

• Presentation Conference Type: Other
• Conference Name: 9th International Conference of Information Visualisation
• Conference Location: London, UK
• Publication Date: Jul 7, 2005
• Deposit Date: Dec 7, 2010
• Publicly Available Date: Apr 5, 2016
• Additional Information: Event Type : Conference