Development of Systematic Image Preprocessing of LAPAN-A3/IPB Multispectral Images

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 t...

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Bibliographic Details
Published inInternational Journal of Advanced Studies in Computers, Science and Engineering Vol. 7; no. 10; p. 9
Main Authors Hakim, Patria Rachman, Syafrudin, A Hadi, Salaswati, Sartika, Utama, Satriya, Hasbi, Wahyudi
Format Journal Article
LanguageEnglish
Published Gothenburg International Journal of Advanced Studies in Computers, Science and Engineering 01.01.2018
Subjects
Algorithms
Business metrics
Calibration
Digital cameras
Environmental science
Fourier transforms
Geometry
Lenses
Mathematical analysis
Metadata
Payloads
Performance evaluation
Preprocessing
Quality
Registration
Remote sensing
Satellite imagery
Software
Vignetting
Indonesia
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Summary: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.
ISSN:2278-7917