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http://dx.doi.org/10.11108/kagis.2015.18.4.068

Improvement of KOMPSAT Imagery Locational Accuracy Using Value-Added Processing System  

LEE, Kwang-Jae (Satellite Information Cooperation Team, Korea Aerospace Research Institute)
YUN, Hee-Cheon (Dept. of Civil Engineering, Chungnam National University)
KIM, Youn-Soo (Satellite Information Cooperation Team, Korea Aerospace Research Institute)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.18, no.4, 2015 , pp. 68-80 More about this Journal
Abstract
To increase the utilization of the KOrea Multi-Purpose SATellite(KOMPSAT) series imagery being developed pursuant to the national space development program, high quality images with enhanced locational accuracy should be created through standardized post-processing processes. In the present study, using the Value-Added Processing System(VAPS) constructed for the post-processing of KOMPSAT imagery, location correction experiments were conducted using KOMPSAT-2 and -3 imagery from domestic and overseas regions. First, 50 pieces from each of KOMPSAT-2 imagery were selected from South Korean and North Korean regions, and modeling was conducted using GCP Chips. According to the results, the Root Mean Square Errors(RMSE) for South Korea and North Korea were 1.59 pixels and 2.04 pixels, respectively, and the locational accuracy of ortho mosaic imagery using check points were 1.33m(RMSE) and 1.90m(RMSE), respectively. Meanwhile, in the case of overseas regions for which GCP could not be easily obtained, the improvement of locational accuracy could be identified through image corrections using Open Street Map(OSM). The VAPS and reference materials used in the present study are expected to be very useful in constructing a precise image DB for entire global regions.
Keywords
KOMPSAT; VAPS; Value-Added Processing; GCP Chip; Open Street Map;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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