The residential buildings have complex roof structures of varying
heights and sizes. Figure 1 shows the distribution of residential
buildings shown on the LIDAR DSM, and Figure 2 shows the
surface profile for a residential building. On the other hand,
industrial buildings generally cover a larger surface area and have
a simpler roof structure than residential buildings. Figure 3 shows
the distribution of industrial buildings on the LIDAR DSM and
Figure 4 portrays the surface profile for an industrial building.
Since the integrated methodology adopted from Jaafar et al.
(1999b) requires 2D building polygons, the polygonal data
structure was prepared from 1:1250 Ordnance Survey of Great
Britain (OSGB). Using the Build command available in the
ARC/INFO GIS, the Landline data were transformed to building
polygons. Figure 5 and Figure 6 show the building polygons
created for the residential and the industrial area respectively.
Figure 1: Distribution of residential buildings (white) on the
LIDAR DSM (residential site).
Height (m)
30
Northing
(No. of Pixel)
Easting (No. of Pixel)
Figure 2: Example of the surface profile for a residential building
derived from LIDAR data.
Figure 3: Distribution of industrial building (shaded) on the
LIDAR DSM (industrial site).
Height (m)
40
36
34
32
10
20
Northting 30.
(No of Pixel) 50
60
20 40 60
Easting (No. of Pixel)
International Archives of Photogrammetry and Remote Sensing, Vol. 32, Part 3W14, La Jolla, CA, 9-11 Nov. 1999
80
Figure 4: An example for the surface profile for an industrial
building derived from LIDAR data.
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Figure 5: Building polygons for residential area derived from
OSGB Landline data (Reproduced from Ordnance Survey
mapping with the permission of The Controller of Her Majesty's
Stationery Office, Crown Copyright. ED 273554).
Figure 6: Building polygons for industrial area derived from
OSGB Landline data (Reproduced from Ordnance Survey
mapping with the permission of The Controller of Her Majesty's
Stationery Office, Crown Copyright. ED 273554).
3 METHODOLOGY
Figures 2 and 4 shows that there is an observable difference
between the surface profiles of residential and industrial
buildings. The hypothesis posed here is that these differences can
be characterised through the use of simple statistics that will
Internatior
allow the identifica
(residential and indus
In this study, the m
models at various gri
RMSE, the value of s
heights at various
investigated. In the
LIDAR DSM is degi
20m with a 2m-grid
and industrial build:
computation of RMS
selected to represent 1
7 respectively.
In the next stage, 3D
derived from the LIT
20m, with a 2m-grid
Figure 7 and Figur
integrated methodolc
LIDAR DSM data foi
shows how the maxir
polygon is extracted
construct the 3D mod
Further discussion of
Jaafar et al. (1999b).
LIDAR DSM |,
Heisht ed i
Figure 7: Maximum
the co
26 m
Northing y
[Datum Plane]
Figure 8: 3D model
(Maximum h
