3. FLOWCHART OF PROCESSING
The data flow diagram of processing is shown as follows.
=
-——— —— wd P €
—
| [4.1] Data Acquisition from
| | Airborne Laser Scanner | |
e: — SE =
Raw Image Raw Data |
| ( Digital Camera ) | ( Random Points )J
|
1
I
1
1
1
1
1
1
I
!
|
:
mq —_— !
vx NM Y |
| S x TR ra ae en !
| [4.2] Ground Filtering [ i T i
| [4.3b] Removing Noise | | H3] sers |
L Cr DEM? bom ee |
i
EN zT 40 1
ET = TT TN !
e "um Eu m |
MM Es | IET I
Digital Surface | | Digital Elevatio | !
[. Model ( DEM ) J D. Mode ( DSM ) ;
Y — COL |
— A |
| Ortho Image |
| Creation | !
1
po il
[5.4]
| Building Footprints |
L zl
-— ic
[ 5. Building Outline Extraction ] i er fr 1
(DSM-DEM) |
Te
m E
| Laying Objects
L Heigth Image )
NE Nee
| [5.2] Contour Polygons |
Calculation |
| [5.1] Subtruction |
" €
| [5.3] Building Footprints |
| Extraction |
1
Reshape fi —— eu
| Rough |
| Building Footprints J
\
a a om a a ———————_——_—_—— 0 0 2 2 7 0 2 0‘ ‘0 “0 0 A0 0 8
eus esse: [ 6. 3D-City Models Creation] ---------4----
a
NES [6] Cre ano =
Rm = reation of | 1
Building Footprints | 3D-City Models | ;
L d E E - zd !
e parit ;
vy |
~~ |
3D City Model |
Lt A |
|
4. PRE- PROCESSING
4.1 Data Acquisition from Airborne Laser Scanner
The measurement conditions when it takes with the laser
scanner are shown in table 3. In the case of these conditions, the
sampling interval of measurement and the number of points (all
and each returns) within the scope of 1km? are shown in table 4.
Measurement Area
Shinjuku (JAPAN)
Flight Altitude 9000 [feet] (Approx. 2743 [m])
Flight Speed 110 [knot] (Approx. 209 [km/h])
FOV 16.0 [deg]
Scan Rate 19.5 [Hz]
Table 3 Measurement Conditions
Points Interval (Along)
Approx. 2.5 [m]
Points Interval (Cross)
Approx. 2.0 [m]
Number of Points
233573[points/1km’]
1% - 5" Return (Ratio)
1% 83.6% / 2": 13.9%
3rd. 2 206 / 455 0,2294
5%. 0.03%
4.2 Ground Filtering
fallows.
The ortho image is corrected using the DEM, therefore the high
buildings are slightly lying on the ortho image. In order to
reduce the influence to a minimum, the aero photographs with
large overlap are used. And the central part of aero photograph
is used to create the ortho image. It is hard for the extraction of
the exact building footprints only from the laser point clouds,
because the measuring interval of the laser points is rough. But
in this study, the building footprints are corrected with the ortho
image, and the 3D city models are created from the building
footprints.
Figure 1 Flowchart of the Processing
Table 4 Characteristics of Random Points
The laser point clouds are divided into tiles for the filter
processing, and then the points are classified into the ground
and the others based on the statistic values within the tile. The
tile size is changed several times according to the size of lying
object on the ground. The results of filter processing are as
Figure 2 DSM (2m Grid)
Figure 3 DEM (2m Grid)
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JE bs A N 3] 7 — d