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http://dx.doi.org/10.7848/ksgpc.2022.40.4.293

Impact Analysis of Buildings for KOMPSAT-3 Image Co-registration  

Park, Jueon (Dept. of Civil Engineering, Seoul National University of Science and Technology)
Kim, Taeheon (Dept. of Civil Engineering, Seoul National University of Science and Technology)
Yun, Yerin (Dept. of Civil Engineering, Seoul National University of Science and Technology)
Lee, Chabin (Dept. of Civil Engineering, Seoul National University of Science and Technology)
Lee, Jinmin (Dept. of Civil Engineering, Seoul National University of Science and Technology)
Lee, Changno (Dept. of Civil Engineering, Seoul National University of Science and Technology)
Han, Youkyung (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.40, no.4, 2022 , pp. 293-304 More about this Journal
Abstract
In this study, to analyze the effect of buildings on the image co-registration performance, co-registration results are compared according to the presence or absence of matching points extracted from buildings. To remove the matching points extracted from buildings, a building mask generated by extracting building objects from the digital topographic map was used. In addition, matching points extraction performance and image co-registration accuracy were analyzed according to the magnitude of the convergence angle. Image co-registration results were compared by applying the affine and piecewise linear transformation models, respectively. According to the experimental results, the affine transformation model showed an overall improvement in accuracy after removing the matching points extracted from buildings. On the other hand, the piecewise linear transformation model improved the accuracy at the checkpoints including the surrounding buildings, but the accuracy improvement was not significant at checkpoints in the flat area without the existence of buildings. In addition, when the piecewise linear transformation model was applied, stable accuracy of less than 2 pixels was derived from images with a convergence angle of 20° or less.
Keywords
Image Co-registration; KOMPSAT-3; Building Impact Analysis; Convergence Angle;
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Times Cited By KSCI : 9  (Citation Analysis)
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