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Open AccessArticle

KOMPSAT-3 Digital Elevation Model Correction Based on Point-to-Surface Matching

by Hyoseong Lee 1,* and Michael Hahn 2
1
Department of Civil Engineering, Sunchon National University, Suncheon 57922, Korea
2
Department of Geomatics, Computer Science and Mathematics, Stuttgart University of Applied Sciences, 70174 Stuttgart, Germany
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(20), 2340; https://doi.org/10.3390/rs11202340
Received: 6 September 2019 / Revised: 30 September 2019 / Accepted: 5 October 2019 / Published: 9 October 2019
(This article belongs to the Section Remote Sensing Image Processing)
In order to generate digital elevation models (DEMs) from high-resolution satellite images, the vendor-provided rational polynomial coefficients (RPCs) are commonly used. This results in a level of accuracy that can be improved by using ground control points (GCPs). The integration of the GCPs into the processing chain is associated with additional effort, since it requires the provision of GCPs as well as the measurement of its image coordinates. In this paper, the authors avoid the measurement of GCP image coordinates and propose a point-to-surface matching method to correct the DEM produced from KOMPSAT-3 satellite images and the provided RPCs. For point-to-surface matching, an existing network of GCPs was used in South Korea, the so-called united control points and the triangulation control points. Practical testing was summarized with the proposed method in which the root mean square error with respect to the horizontal position and the height reduced from 20 m and 6 m to 3 m and 2 m, respectively. This demonstrates that neither image coordinate measurements nor additional GCP point acquisition, e.g., by GPS, are necessary to convert a DEM generated from KOMPSAT-3 images and vendor-provided RPCs into a highly accurate DEM by using existing GCPs and point-to-surface matching. View Full-Text
Keywords: digital elevation models; rational polynomial coefficients; point-to-surface matching; united control points; triangulation control points digital elevation models; rational polynomial coefficients; point-to-surface matching; united control points; triangulation control points
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MDPI and ACS Style

Lee, H.; Hahn, M. KOMPSAT-3 Digital Elevation Model Correction Based on Point-to-Surface Matching. Remote Sens. 2019, 11, 2340.

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