Abstract
Along with the appearance of high resolution satellite images, image correction using Rational Polynomial Coefficients (RPCs) has become common. Location accuracy of Korea Multipurpose Satellite (KOMPSAT) standard images is still not adequate, so, in order to leverage the KOMPSAT images for applications such as mapping and change detection, it is necessary to orthorectify the images. In this study, using updated RPCs, we performed orthorectification of KOMPSAT-2, KOMPSAT-3, and KOMPSAT-3A images using various data. Through this study, we discovered that the orthorectification result using precise Ground Control Points (GCPs) and Digital Elevation Model (DEM) is the best, but it was found that the correction results through image matching are also excellent. In particular, it was confirmed that orthoimages with a planimetric accuracy around 3 m (Root Mean Square Error (RMSE)) can be generated by using well-known matching algorithms with open data such as OpenStreetMap (OSM) and Shuttle Radar Topography Mission (SRTM) DEM, which can be acquired by anyone. Although the accuracy was low in some mountainous terrain, it was confirmed that it could be used for generating KOMPSAT orthoimages using open data. This paper describes the results for orthorectifying high resolution KOMPSAT optical images using various reference data.
Highlights
Over the past several decades, various images from earth observation satellites have been used to monitor geographical events ranging from global disasters to climate and environmental changes
In the case of study area 1, modeling for orthorectification was performed by block units rather than individual image units because there were many Korea Multipurpose Satellite (KOMPSAT)-2 image to process
At least 6 points extracted from an aerial orthophoto with a spatial resolution of 0.25 m were used as Orthophoto Checkpoints (OCPs)
Summary
Over the past several decades, various images from earth observation satellites have been used to monitor geographical events ranging from global disasters to climate and environmental changes. Due to the rapid development of satellite technology, the application range of satellite images is continuously expanding. High resolution images from low-orbit satellites are being used in applications from change detection to cause analysis. Low-orbit satellite images are widely used for generating various thematic maps based on high spatial resolution, even though the observation width is narrow. Traditional mapping was performed based on aerial photographs, but in recent years, high resolution satellite images have been widely used in the field of cartography. High location accuracy is required to utilize satellite images for mapping and precise change detection
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