This correction mechanism described here is applied to
many images from the KITSAT-1. In most cases, the
mechanism finds successfully the geometric model
parameters with less than 0.01 pixel accuracy after about
more than 10000 iterations to converge them. This result
shows. much better performance comparing with simple
linear polynomial GCP mapping.
6. Conclusions
The CEIE in the KITSAT-1 microsatellite demonstrates
many possibilities in the observation of the Earth surface
with a very low cost satellite platform and imager. Images
from the CEIE can be very valuable even if they are not
comparable to scenes from existing commercial satellites.
They show some hardware abnormalities but produce lots
of images with reasonable qualities and low cloud
coverage, which can be used for further processing and
analysis
Preprocessing is very necessary to use an image for
various applications. In this paper, the geometric
distortions in the KITSAT-1 images were analyzed and a
correction mechanism to remove them is developed. The
developed procedure shows reasonable performance in
correcting image from micro-satellites such as the
KITSAT-1 images. It can be also a basis for developing
geometric correction algorithms for images from other
remote sensing satellites which have large amount of
pointing error or do not give sufficient accurate attitude
information.
Figure 8. The preprocessed image projected to TM coordinates
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B3. Vienna 1996
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