Hence with its quick processing times, ground resolutions in the
range of 0.05 to 1 m, and geometric accuracy at the resolution
level, the DSS is ideal for meeting the current market demands
for orthorectified colour and CIR imagery.
Given these capabilities and its low cost, the DSS opens the
door to many applications that often involve small localized
areas, corridors or irregular spot shots:
- updating and maintaining cadastral GIS databases,
- classifying and mapping pervious and impervious
surface areas,
- identifying wetland areas,
- updating land use maps,
- estimating crop yields and health,
- preparing timber stand inventories,
- planning for new construction sites,
- verifying areas for licensing and permitting
- pipeline management
- utilities infrastructure management
- oblique photography for land management
- disaster management
5. The DSS performance analysis
This section is dedicated to highlight the geometric accuracy of
the DSS using a test flight over Southern Ontario, Canada. The
objective of this flight is testing and validating the terrestrial
calibration of the DSS and in-flight approaches and analysing
its capability for DEM extraction and orthophoto generation. A
subsection of this flight test was used for the analysis presented
here. This section was flown over Ajax, Ontario, and consists of
a total of 72 images taken from a flight altitude of about 1200 m
Above Ground Level (AGL). This test area contains a total of
50 Ground Control Points (GCPs) surveyed using DGPS
pseudokinematic approach. All ground control points have been
used as check points, except for one point that was used for
calibration and quality control purposes. The Southern Ontario
flight trajectory is shown in Figure 2, while a summary of the
test flight parameters is presented in Table 3. Note that only the
Ajax part of this flight data is used for the analysis presented
here.
Table 3: Summary of The Ajax Flight parameters
|
| Location |
Ajax, Ontario, Canada |
| Camera Focal Length |
55 mm |
| Flying Height |
~ 1200 meter AGL |
| Photo Scale |
1 : 20,000 |
| Ground Sample Distance |
0.2 m |
| # Images |
72 |
| # Strips |
8 |
| Image Overlap |
60% forward, 20% side |
| # Ground Control Points |
50 (1 cm accuracy) |

Figure 2: Southern Ontario Flight Trajectory
The POS AV data was first processed using POSPac TM , and the
exterior orientation parameters were computed using the
terrestrially calibrated boresight angles. Then, the imagery, the
POS-derived exterior orientation parameters, and the GCPs
were introduced to ZI ImageStation (ISAT) for tie point
collection. In this part, the image block was sub-divided into
three areas, namely
- Commercial area (C)
- Residential are (R)
- Forested area (F)
Dividing the test allowed evaluating the performance of the
automatic tie point generation process for different terrain type
towards the in-flight calibration procedure in POSCal TM .
Additionally, it allows analysing the effect of different terrains
on map production using the DSS. Using only 1 GCP for the in-flight
calibration, tie point accuracy and POS-derived exterior
orientation parameters are very important, especially in the
forested area, tie point quality can be degraded significantly due
to the lack of unique features and the resulting calibration
parameters can therefore be less accurate. A summary of the
configuration of each area is listed in Table 4.
Table 4: Terrain Information
| Type |
Commercial |
Forest |
Residential |
| # Images |
12 |
20 |
40 |
| # Strips |
4 |
4 |
5 |
| # GCPs |
18 |
19 |
22 |
For each terrain type, the ISAT-automatically generated tie
points which were imported to POSCal TM along with POS-derived
exterior orientation. The boresight and camera
parameters were re-calibrated using only 1 GCP (around the
centre of each area) to refine the parameters that were calibrated
using the terrestrial calibration. The use of one GCP in the
airborne calibration is needed to absorb any datum shifts. After
the in-flight calibration, the data was imported again to ISAT
where the EO Analysis function (Madani and Mostafa, 2001)
was used to double check the validity of the POSCal TM
calibrated parameters and to analyse the performance of the
DSS. In the EO analysis tool of ISAT, the ground coordinates
of checkpoints are computed for each stereopair using the EO
parameters of the two images and the image coordinates of the
checkpoints. Then the computed checkpoint coordinates are
then compared with the land-surveyed coordinates. The
differences between the DSS-computed and the land-surveyed
coordinates of the checkpoints are then summarized by ISAT
together with their statistics. The results of the EO Analysis on
the three terrain areas are briefly presented in Table 5.
Table 5: Statistics of Checkpoint Residuals Extracted from ISAT EO Analysis
Examining the results presented in Table 5, the following
observations can be made:
- The RMS of checkpoint residuals is always sub-metre in
all the terrain areas. The statistical results presented here
are more or less equivalent to the independent test results
of the DSS in Japan and in Florida presented by Mostafa
(2003).
- In the Forest area, the check point residuals in the vertical
component are twice as much as those obtained in the
commercial and residential areas. This can be blamed to
the less accurate tie point image coordinates that were
measured automatically as tree tops. In that case, however,
the resulting tie point accuracy is usually less than that of
the other cases, and, thus, resulting in less accurate
calibration parameters. Therefore, forested areas are not
suitable for the airborne calibration of the DSS.
- The RMS of the remaining y-parallax is about 5, 4, 6
microns, while the maximum is about 7, 6, and 12 microns
in the Commercial, Forest, and Residential areas,
respectively. Note that the pixel size of the CCD chip of
the DSS is 9 microns. This implies that the RMS of the
remaining y-parallax is always within 1 pixel (i.e. well
within the GSD) and that the maximum remaining y-parallax
is approximately 1 pixel which happened only in
10% of the Residential areas. Note that the remaining y-parallax
is a measure of the relative accuracy of the final
solution.
6. The DSS fast Orthophoto production
To demonstrate the DSS capability in producing orthophoto
mosaics in timely fashion, the in-flight calibrated DSS data was
imported directly to ERDAS IMAGINE OrthoBASE to perform
DEM self-extraction. Using the image stereopairs, DEM was
extracted with a 5 meter posting. This procedure was performed
in fully automatic mode without any external reference
(existing DEM) or manual interaction (pre-defined elevation
points). Unlike normal mapping procedure, the DEM was
brought to create orthomosaic for the test flight area without
modification (review/edit), to demonstrate fast orthophoto
production with minimum operator interaction. The extracted
DEM and the corresponding orthomosaic from the test flight
area are shown in Figure 3. Note that the orthomosaic illustrates
the locations of GCPs only; it does not reflect the actual number
of GCP available. A summary of the self-extracted DEM and
the orthomosaic is presented in Table 6. Note that the EO
parameters used for orthophoto generation was derived from
flight calibration using only 1 GCP, to absorb any datum shifts.
Table 6: Summary of Self-Extracted DEM and Orthomosaic DEM Extraction

Figure 3: Self-Extracted DEM (left), Orthomosaic (right)
Table 6: Summary of Self-Extracted DEM and Orthomosaic DEM Extraction
| DEM Extraction |
| Module Used |
ERDAS OrthoBASE Pro |
| Resolution |
5 m |
| Interpolation |
Cubic convolution |
| Coverage |
2700 x 5100 m |
| Extraction Mode |
Fully automatic |
| Existing DEM |
None |
| Elevation Point |
None |
| Overlap Threshold |
50 % |
| Orthomosaic |
| Module Used |
ERDAS OrthoBASE Pro |
| Resolution |
0.2 m |
| Interpolation |
Cubic convolution |
| Coverage |
2700 x 5100 meter |
| Color Balancing |
Automatic |