  As of any other satellite images, LAPAN-A3/IPB multispectral images suffered
from both geometric and radiometric distortions which need to be corrected.
LAPAN as satellite owner has developed image preprocessing algorithm to process
raw image into systematically corrected image. This research aims to evaluate
the performance of the developed algorithm, particularly the performance of
lens vignetting and band co-registration correction as well as the performance
of direct image georeferencing. Lens vignetting distortion occurs on image was
corrected by using pre-flight calibration data, while calculation of direct
georeferencing was done by using satellite metadata of satellite position and
attitude. Meanwhile, band co-registration correction was conducted based
entirely on the image being processed using image matching approach. Based on
several results and analysis which have been done, lens vignetting effects on
image can be suppressed significantly from about 40 percent down to 10 percent,
band coregistration error can be reduced to below 2-3 pixels in average, and
the calculated direct georeferencing has 3000 meter accuracy. The results show
that the developed image preprocessing algorithm has moderately good
performance to process LAPAN-A3/IPB multispectral images.
