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http://dx.doi.org/10.11108/kagis.2013.16.3.103

Generation of the KOMPSAT-2 Ortho Mosaic Imagery on the Korean Peninsula  

Lee, Kwang-Jae (Satellite Information Research Institute, Korea Aerospace Research Institute)
Yyn, Hee-Cheon (Dept. of Civil Engineering, Chungnam National University)
Kim, Youn-Soo (Satellite Information Research Institute, Korea Aerospace Research Institute)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.16, no.3, 2013 , pp. 103-114 More about this Journal
Abstract
In this study, we established the ortho mosaic imagery on the Korean Peninsula using KOMPSAT-2 images and conducted an accuracy assessment. Rational Polynomial Coefficient(RPC) modeling results were mostly less than 2 pixels except for mountainous regions which was difficult to select a Ground Control Point(GCP). Digital Elevation Model(DEM) which was made using the digital topographic map on the scale of 1:5,000 was used for generating an ortho image. In the case of inaccessible area, the Shuttle Radar Topography Mission(SRTM) DEM was used. Meanwhile, the ortho mosaic image of the Korean Peninsula was produced by each ortho image aggregation and color adjustment. An accuracy analysis for the mosaic image was conducted about a 1m color fusion image. In order to verify a geolocation accuracy, 813 check points which were acquired by field survey in South Korea were used. We found that the maximum error was not to exceed 5m(Root Mean Square Error : RMSE). On the other hand, in the case of inaccessible area, the extracted check points from a reference image were used for accuracy analysis. Approximately 69% of the image has a positional accuracy of less than 3m(RMSE). We found that the seam-line accuracy among neighboring image was very high through visual inspection. However, there were a discrepancy with 1 to 2 pixels at some mountainous regions.
Keywords
KOMPSAT-2; Rational Polynomial Coefficient(RPC); Ortho Mosaic Imagery; Digital Elevation Model; Shuttle Radar Topography Mission(SRTM);
Citations & Related Records
Times Cited By KSCI : 10  (Citation Analysis)
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