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http://dx.doi.org/10.11108/kagis.2020.23.1.041

Generation of High Quality Geospatial Information Using Computer Vision Analysis of Line Type Digital Aerial Photogrammetry Camera Imagery  

LEE, Hyun-Jik (Dept. of Civil Engineering, Sangji University)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.23, no.1, 2020 , pp. 41-50 More about this Journal
Abstract
The National Geographic Information Institute of Korea takes digital aerial photograph images every two years to make and modify/renew the digital map. The cameras for aerial photogrammetry to capture these digital aerial photographs are divided into frame types and line types. Computer vision analysis of aerial photograph images was only possible for frame type. Thus, in this study, Line type aerial photograph images was intended to generate geospatial information through computer vision analysis, and forest geospatial information was created as a method for the utilization of aerial picture images. As a result, geospatial information generated by computer vision analysis of line type aerial photograph images showed that RMSE of horizontal and vertical position errors was less than quadruple that of GSD. Forest geospatial information was generated using geospatial information generated by computer vision analysis. It was confirmed that extraction of the crown of tree and calculation of tree height are possible. Through this study, it is expected that utilization of aerial photograph images will be improved.
Keywords
Line type; Aerial photograph image; Geospatial information; Forest geospatial information; Generation;
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Times Cited By KSCI : 4  (Citation Analysis)
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