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Generally speaking, the terrestrially calibrated parameters can
be directly used for map production. This approach is efficient
and provides adequate accuracy for rapid response applications.
However, for precision mapping applications, another more
precise alternative is used; where a part of the airborne survey
data is used to refine the calibrated parameters. This approach is
called Calibration and Quality Control. This approach has been
experimented earlier and showed viable (c.f, Mostafa and
Schwarz, 2001) where a number of well distributed tie points
are automatically or semi/automatically generated and used
together with the GPS/INS exterior orientation parameters and
the terrestrially calibrated parameters to compute a refined
system calibration parameters under the flight conditions at
hand.
3. THE DSS TEST FLIGHTS
The DSS is frequently being test flown for performance
evaluation purposes. The results of a number of DSS test
flights are presented in this paper. This section is dedicated to
briefly introduce the flight configuration of each of these
flights.
In December, 2002, the DSS was flown over a test field in
Lakeland, Florida, USA. This flight will be referred to as
Lakeland Dec02. The Lakeland test field has a total of 37
ground control points (GCPs). The flight altitude is about 2000
m which when coupled with the 55 mm focal length of the lens
in use, results in a Ground Sample Distance (GSD) of about 0.3
m. Six strips of images were flown where a total of 65 images
were collected. Two more flights were flown over the same test
field in January 2004 and March 2004, respectively. These two
flights will be referred to as Lakeland Jan04 and Lakeland
Mar04, respectively.
Flight ig
Flight E GSD #Strips/ # Check
ID Aktitudesdote i-e retos ^ Points
AGL (m) his
Lakeland
f
get 1800 0.3 6/65 37
1200 0.3
EORUM & & 6/30 30
e 1800 0.5
1200 0.2
ann & & 5/30 32
1800 0.3
NASA 1800 0.3 12/242 9
Stennis
E 1200 0.2
ER & & 5/41 60
s 1800 0.3
Ajax 1200 0.2 9/165 46
03
PASCO 300 0.05 6/150 16
Toyonaka
Table 1: Configuration Parameters of Different DSS Flights
NASA Stennis Space Centre has independently evaluated a test
flight data set especially acquired for that purpose. The same
data set has been evaluated independently at Applanix and the
results are presented here. In February 2003, a set of data was
collected in Japan where a total of 41 images over 5 strips were
collected over a test field which has about 60 GCPs. In August,
2003 a test flight was flown over Southern Ontario, Canada,
where a part of this test flight data was flown over Ajax,
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B5. Istanbul 2004
Ontario and will be referred to as Ajax 03. Note that the test
flights discussed so far have been flown to attain a GSD of
about 0.2 m, 0.3 m, and 0.5 m. PASCO Corporation flew a
rather high resolution test flight over Toyonaka City in Japan,
where the flight altitude is 300 m which resulted in a GSD of
about 0.05 m. This flight will be referred to as PASCO
Toyonaka flight. Table 1 lists a summary of the configuration
parameters of the aforementioned flights. An example of the
flight trajectories of these flights is shown in Figure 7, where
the Southern Ontario flight trajectory is plotted and the Ajax
part of this flight is highlighted near the upper right corner of
Figure 7.
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Figure 7: Southern Ontario Test Flight Trajectory
4. TEST FLIGHT RESULTS AND ANALYSIS
As mentioned above, the DSS test flights were flown for
performance evaluation purposes. The most important
parameter in the performance evaluation of a survey system is
the absolute accuracy of the system when examined against a
known reference. Therefore, the efficient way of analyzing the
performance of the DSS is to compare the DSS-derived
checkpoint coordinates to those surveyed independently by land
surveying techniques. The statistics of checkpoint residuals
simply depict the final absolute accuracy of the checkpoints.
Moreover, the minimum and maximum values of the residuals
show the error bounds for individual points. In addition, the
mean value of the residuals show whether or not there is
remaining biases in the system.
In the following discussion, the results from a number of the
DSS test flights are presented using the aforementioned
checkpoint residuals as an evaluation criterion. Some of the
data results have been previously presented in some detail in
Mostafa (2003), Tachibana et al (1004) and Ip et al (2004). The
presentation herein is, therefore, rather concise and focused on
the repeatability of the DSS system performance in the different
test flights discussed in Section 3.
Note that all the results presented here are after the DSS data
has gone through the airborne calibration and quality control
procedure shown in Figure 2.