CA, 9-11 Nov. 1999
is possible to extract height
ment which could be used to
Mabases with quantitative 3D
iutomation may be necessary for
oof ridges acting as guidelines
| of the roof structure.
D CONCLUSIONS
se of relatively low resolution
| of roof detail from buildings,
ng. A 2D spatial database of
ised to locate the roof extents.
to test the LIDAR data, an
nple roofed buildings, and a
1ildings and more complex roof
f LIDAR elevation, aspect and
e made to extract the main roof
gest that it is possible to extract
ta, especially for large buildings
he aspect parameter performed
majority of ridges from the
dges using aspect, just over half
natches. In the residential areas,
complex roof structures made it
ata to produce meaningful roof
imilar or lower resolutions will
problems experienced in this
lanimetric accuracy levels of the
> to the extraction of accurately
detail. The problems with the
ven though the buildings used in
relatively simplistic structures.
level of roof detail extracted in
pplications such as visualisation
A semi-automated approach to
eed to be employed for these
lges can be used as a guide for
tent and nature of the ridges. To
etail that can be extracted from
on, or rather the original point
" should be made more dense.
he cost of the data and make it
r scanner users. LIDAR data
nproved further, as well as the
n LIDAR data and any assisting
data set used in this paper. Until
Tr scanner instruments becomes
st of the technology decreases,
r scanner data can be used to
| buildings.
International Archives of Photogrammetry and Remote Sensing, Vol. 32, Part 3W14, La Jolla, CA, 9-11 Nov. 1999
ACKNOWLEDGEMENTS
We would like to thank Dave Holland, Sallie Payne and all at
the Ordnance Survey for help and advice. The Ordnance
Survey of Britain kindly provided the Land-Line data set.
Thanks to the Environment Agency for the supply of the
LIDAR data. Research and computing facilities were made
available by the School of Geography, University of
Nottingham.
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