3. Istanbul 2004
' combined into
e combined into
mbined into one
1ed into another
nd image group
respectively.
re necessary for
. If we set four
cent orbits, then
lock.
ages, the initial
points can be
jn parameters of
elow step:
the orbit into a
ntrol points to
not include the
ned images.
yigger combined
tial value of the
block.
dinates of all tie
meters of each
DJUSTMENT
three orbits. The
1). The block has
jin the test block
UTM coordinate
600 meter in the
geometric model
and 8 GCPs three
the Table 1. The
model (the forth
the purpose of
KONOS imager
:k points (m)
My Mz
0.58 0.87
0.72 1.15
0.85 0.93
From the adjustment results listed in the Table 1, one can draw
the conclusion:
I. The accuracy of the block adjustment with strict
geometric model can reach to the level corresponding to
the ground resolution of the image and the accuracy can
be improved by increasing the number of the control
points.
2. The planimetric accuracy of the block adjustment with
strict geometric model is better than the accuracy of the
adjustment based on RPC model.
3. The height accuracy of the block adjustment with strict
geometric model is coequal to the accuracy of the block
adjustment based on RPC model.
42 TEST RESULTS OF BLOCK WITH OTHER HRSI
The second test block has six HRSI images in one orbit. The
pixel size of these images is three meter and the photograph
area is about 2700 km^ (90*30 km). As shown in the Figure 4,
there are 39 GCPs in the block. All the GCPs are in the UTM
coordinate systems. The terrain height variation is about 300
meter in the block.
je 9n km >|
5801 / 5802 5791 f 5792 3781 / 5782
v o
3 o o
e o o o
> a e 5 o o
9 9 2 e
e e a
d =
o
9 5 al © 9 o
o " o
o 5
D o o
v o o
o o
>
e
e
©
o
»
o ?
(b) 10 GCPs
o
o
o
€
o
*
(c) 6 GCPs
7
Figure 4: The location of GCPs with the third test block.
The block has 6 images in two orbits. There are 39 GCPs in
all. The block adjustment has been tested for all the 39
The block adjustment has been tested for all the 39 GCPs, 10
GCPs and 6 GCPs three cases respectively and the test results
are listed in the Table 2. From the result we can see that the
planimetric accuracy of the block adjustment reach the level
corresponding to the ground resolution of the image. But the
accuracy of the height is a bit worse. One of the reason is the
image is not very clear (Figure §), The other reason is the poor
83
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004
location of the GCPs: there are no GCP in the center of the
block while the span of the block is 90 km.
Table 2: The block adjustment results of the CBS-2 imagery
9, Control points (m) Check points (m)
Pixel i ;
1 N Mx My Mz N Mx My Mz
0.24 39 3.14 2.28 6.74
0.22 10 1.46 0.88 4.22 29 3.79 2.93 7.04
0.23 6 1.48 1.09 2.61 33 5.98 3.79 6.44
Figure 5: The image windows (zoom ratio is 3) in the
second test block.
Table 3 shows the block adjustment results of the single models
(model 5781/5782 and 5801/5802) in the third block. In each
model, all the control points are used to calculate the orientation
parameters.
Table 3: The block adjustment results of the single model in the
third test block
Control points (m)
Model
N Mx My Mz
5781/5782 19 3.57 2.19 4.19
5801/5802 20 4.87 2.34 7.92
Compared to the results shown in Table 2, we can see that the
accuracy of the block adjustment with multi models reach the
same level of the accuracy of the single model.
5. CONCLUSION
In this paper, a new approach of the block adjustment based on
the new strict geometric model for HRSI is introduced. In order
to reduce the number of necessary control points for the
calculation of the initial value of the block adjustment, a
procedure with three steps is proposed. The new approach of
the block adjustment has been tested for IKONOS and CBS-2
images respectively. All the test results show that the accuracy
of the block adjustment can reach to the level corresponding to
the ground resolution of the image.
Compared with the block adjustment based on RPC model,
though the block adjustment based on RPC model may need
fewer control points, this new approach has larger potential in
the application of HRSI because most of high-resolution
satellite imagery has no RPC parameters supported.