September 2019 Full - page 651

multiple strips. There are 108 control points within the cover-
age area of Data B, with 50 control points in the overlapping
area. There are 85 control points within the coverage area of
Data C, with 13 control points in the overlapping area.
Hegang, Heilongjiang Province, China Tests
In the second project, three groups of blocks were flown in He-
gang, Heilongjiang Province, China on October 14, 17, and 21,
2017. In Figure 9, the area enveloped by the black solid line is
the Hegang area, and the three groups of blocks are all within
that area. Blocks flown on October 17, 2017, were selected for
the experiment. The red translucent area shows the four cross
strips flown at 2600 m height, and the green solid line marked
area shows the four cross strips flown at 1700 m height. At
2600 m height, two strips in the north-south direction were
flown bidirectional, and the overlapping ratio is nearly 70%.
Two strips in the east-west direction are also flown bidirec-
tional, and the overlapping ratio is nearly 70%. The same
flight design was applied to blocks flown at 1700 m height.
The main landform of the area is
GCPs
are collected by means of
GPS
f
GCPs
are designed to evenly distribu
a height of 2600 m. Due to building
ground conditions,
GCP
spacing is minorly adjusted, but the
overall uniformity is maintained. The blocks flown at 2600
m height (referred to as Data D) are chosen for
AT
and calibra-
tion. After image matching, 9211 points are reserved for
AT
and calibration.
Experimental Results and Analysis
The experimental tests include six parts as follows:
1. Initial uncontrolled
DG
: Using the initially designed
technical parameters of the camera, uncontrolled
DG
was
performed to evaluate the
GFXJ
camera’s accuracy.
2.
AT
and geometric calibration: The two-step iterative
calibration scheme was applied on four blocks of flight
data to assess the
GFXJ
’s accuracy after
AT
and calibrate the
camera lens and
CCD
line distortion, the
GNSS
lever arms
and the
IMU
boresight misalignment. The
GNSS
lever arms
and
IMU
boresight misalignment calibration values and
CAM
files were obtained after the experiments.
3.
GNSS
lever arms and
IMU
boresight misalignment calibra-
tion: Analysis was performed on the
GNSS
lever arms and
IMU
boresight misalignment calibration values, and the
calibration values were evaluated by
DG
using updated
GNSS
/
IMU
observations.
4.
CAM
files calibration: From calibrated
CAM
files, we can
calculate the viewing angles (
Ψ
x
,
Ψ
y
) of each element in
the forward/nadir/backward view
CCD
line arrays. For
each
CCD
line, two viewing angle curves will be formed
independently along the
CCD
line direction and along the
flight direction. A comparison and analysis will be made
on these viewing angle curves.
To evaluate the reliability and accuracy of
CAM
files,
DG
will be implemented again using
CAM
files and original
GNSS
/
IMU
observations.
5. Redirect geopositioning based on
GNSS
lever arms and
IMU
boresight misalignment calibration values and
CAM
files: From the above
GNSS
lever arms and
IMU
boresight
misalignment calibration values and
CAM
files, average
values can be calculated. Using these average values,
GNSS
/
IMU
observations are updated. Using these updated
GNSS
/
IMU
observations and
CAM
files,
DG
was performed
repeatedly to evaluate the calibration results.
6.
AT
based on
GNSS
lever arms and
IMU
boresight misalign-
and
CAM
files: The design goal of
the
complish a 1:1000 scale mapping
f several
GCPs
. Based on the
GNSS
IMU
bor
esight misalignment calibration
CAM
A
T
is carried out again with several
GCPs
to assess the
GFXJ
’s camera mapping capabilities.
Initial Uncontrolled
DG
Using the
GFXJ
’s initial technical parameters, including the
nominal viewing angle, focus length, pixel size, and
GNSS
/
IMU
observations, uncontrolled
DG
was performed to evaluate
the accuracy of the
GFXJ
camera. The experimental results are
shown in Table 2. The
DG
accuracy of the
GFXJ
camera is poor,
and the accuracy for the four datasets is equivalent. There
are great systematic errors in the
DG
experiment using
GNSS
/
IMU
observations and initial technical camera parameters. The
planar accuracy is approximately 3 to 4 m, the height accu-
racy of Data A, Data B, and Data C is approximately 6 meters,
and that of Data D is nearly 9 m. The values in Table 2 repre-
sent the geometric accuracy of all
GCPs
, 111
GCPs
for Data A,
108
GCPs
for Data B, 85
GCPs
for Data C, and 200
GCPs
for Data
D. Here, Std means the standard deviation. Max means the
maximum value, Min means the minimum value, and Mean
represents the mean of the residuals.
AT and Geometric Calibration
For Data A, 61
GCPs
take part in
AT
& Calibration and 50
reserved
GCPs
are used as checkpoints for accuracy assess-
ment. The values in Table 3 represent the geometric ac-
curacy of the checkpoints. For Data B, 58
GCPs
are used in
AT
, and 50 reserved
GCPs
are used as checkpoints. For Data
C, 50
GCPs
are involved in
AT
& Calibration, and 35
GCPs
are
reserved as checkpoints. For Data D, 150
GCPs
take part in
AT
Table 2. Initial uncontrolled
DG
results (unit: meters).
Test
Data
Accuracy in
X
(east-west) direction
Accuracy in
Y
(north-south) direction
Accuracy in
Z
(height) direction
Max
Min Mean Std
Max
Min Mean Std
Max
Min Mean Std
Data A 6.340 −4.739 1.402 3.897 5.073 −4.980 1.438 3.654 −2.803 −8.932 −6.930 6.487
Data B 6.293 −5.193 0.687 4.033 5.481 −5.956 0.379 3.938 −3.840 −8.255 −6.873 6.573
Data C 6.315 −5.150 0.516 4.623 3.590 −3.729 −0.159 2.456 −3.500 −7.824 −5.755 5.886
Data D 8.312 −6.113 2.611 4.855 7.724 −8.943 1.880 3.719 −6.571 −12.671 −8.928 9.037
Table 3.
AT
and geometric calibration results (unit: meters).
Test
Data
Accuracy in
X
direction (meters)
Accuracy in Y direction (meters)
Accuracy in Z direction (meters)
Max
Min Mean Std
Max
Min Mean Std
Max
Min Mean Std
Data A 0.443 −0.403 −0.002
0.194 0.308 −0.386 −0.001 0.214 0.692 −0.767 0.016 0.219
Data B 0.455 −0.197 0.032 0.100 0.405 −0.240 −0.002 0.088 0.603 −0.473 0.003 0.192
Data C 0.514 −0.274 −0.004 0.082 0.271 −0.355 0.006 0.080 0.525 −0.796 0.001 0.216
Data D 0.589 −0.724 −0.015 0.252 0.597 −0.542 0.001 0.239 0.859 −0.792 0.147 0.269
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
September 2019
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