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Title
Mapping without the sun
Author
Zhang, Jixian

Since we have got the coordinates of the character points and
their corresponding ground coordinates, so we can evaluate the
geolocation accuracy using the following formula:
AX
AX
n
= the coordinates difference in X direction
= the coordinates difference in Y direction
= the number of the check points
RMSEx =
RMSEy =
IA Y*
RMSE = yj RMSEx 2 + RMSEy 2
Where
RMSE = Root Mean Square Error
RMSEx = Root Mean Square Error in X direction
RMSEy = Root Mean Square Error in Y direction
2.3 Result
The ASTER Level-1A data of research area was observed at
31 st August, 2004, and the Level-3 A data was generated at 21 st
December, 2005 by Earth Remote Sensing Data Analysis
Center (ERSDAC). They orthorecitified the same ASTER
Level-1A image again at 18 th October, 2006. These 2 ASTER
Level-3A images were named old version and new version to
distinguish them, and the geolocation accuracy was evaluated
respectively.
Figure 2-3 the geolocation accuracy of ASTER Level 3-A image
We can see the geolocation accuracy form figure 2-3, the arrow
showed the displacement of character point corresponding to
the ground check point, the start of the arrow is the coordinates
of ground check point, and the end is the coordinates of image
character point. The value of the geolocation error was
extended 1000 times to show clearly. The black arrow showed
the old version’s geolocation accuracy and the red arrow
showed the new version’s. We can see that the new version can
locate more precise than the old version.
The Mean, Standard Deviation(Stdev.) and Root Mean Square
Error(RMSE) of the character points are listed in the below
table:
Old Version
New Version
AX(m)
AY(m)
AX(m)
AY(m)
Mean
-5.52
13.65
-0.70
3.56