Geolocation error analysis of KOMPSAT-5 SAR imagery using Monte-Carlo simulation method

Yoon Jo Choi, Seung Hwan Hong, Hong Gyoo Sohn

Research output: Contribution to journalArticle

Abstract

Geolocation accuracy is one of the important factors in utilizing all weather available SAR satellite imagery. In this study, an error budget analysis was performed on key variables affecting on geolocation accuracy by generating KOMPSAT-5 simulation data. To perform the analysis, a Range-Doppler model was applied as a geometric model of the SAR imagery. The results show that the geolocation errors in satellite position and velocity are linearly related to the biases in the azimuth and range direction. With 0.03cm/s satellite velocity biases, the simulated errors were up to 0.054 pixels and 0.0047 pixels in the azimuth and range direction, and it implies that the geolocation accuracy is sensitive in the azimuth direction. Moreover, while the clock drift causes a geolocation error in the azimuth direction, a signal delay causes in the range direction. Monte-Carlo simulation analysis was performed to analyze the influence of multiple geometric error sources, and the simulated error was up to 3.02 pixels in the azimuth direction.

Original languageEnglish
Pages (from-to)71-79
Number of pages9
JournalJournal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
Volume37
Issue number2
DOIs
Publication statusPublished - 2019 Jan 1

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences(all)

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