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http://dx.doi.org/10.7848/ksgpc.2021.39.6.533

Multi-Image RPCs Sensor Modeling of High-Resolution Satellite Images Without GCPs  

Oh, Jae Hong (Dept. of Civil Engineering, Korea Maritime and Ocean University)
Lee, Chang No (Dept. of Civil Engineering, Seoul National University of Science and Technology)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.39, no.6, 2021 , pp. 533-540 More about this Journal
Abstract
High-resolution satellite images have high potential to acquire geospatial information over inaccessible areas such as Antarctica. Reference data are often required to increase the positional accuracy of the satellite data but the data are not available in many inland areas in Antarctica. Therefore this paper presents a multi-image RPCs (Rational Polynomial Coefficients) sensor modeling without any ground controls or reference data. Conjugate points between multi-images are extracted and used for the multi-image sensor modeling. The experiment was carried out for Kompsat-3A and showed that the significant accuracy increase was not observed but the approach has potential to suppress the maximum errors, especially the vertical errors.
Keywords
High-resolution Satellite Images; Multi-images; RPCs; Sensor Modeling; Ground Control Point; Positional Accuracy;
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