DocumentCode
2018663
Title
Remote sensing, LIDAR, automated data capture and the VEPS project
Author
Richman, A. ; Hamilton, Andrew ; Arayici, Y. ; Counsell, J.
Author_Institution
Environ. Agency for England & Wales, Salford Univ., Greater Manchester, UK
fYear
2005
fDate
6-8 July 2005
Firstpage
151
Lastpage
156
Abstract
There has been research into the 3D modelling of urban settings and landscapes since the early 1980s, initially, primarily for visual impact assessment, and more recently, for wider simulation and analysis. This paper discusses recent project work that has been examining how to minimise operator based 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 a sufficiently 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.
Keywords
data visualisation; remote sensing; sensor fusion; solid modelling; town and country planning; virtual reality; 3D modelling; GIS; LIDAR; SAR interferometry; VEPS project; automated data capture; digital elevation model; radar altimetry; real-time video photogrammetry; remote sensing; rural environment; urban data fusion; urban environment; visual environmental impact assessment; visual impact assessment; Altimetry; Digital elevation models; Geographic Information Systems; Laser radar; Proposals; Remote sensing; Spaceborne radar; Standards development; Synthetic aperture radar; Virtual reality; DEM; GIS; LIDAR; SAR; VR; Visual Environmental Impact Assessment;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Visualisation, 2005. Proceedings. Ninth International Conference on
ISSN
1550-6037
Print_ISBN
0-7695-2397-8
Type
conf
DOI
10.1109/IV.2005.106
Filename
1509072
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