Journal of Korean Society for Geospatial Information Science (대한공간정보학회지)

Korea Spatial Information Society (대한공간정보학회)
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Quality Evaluation of Orthoimage and DSM Based on Fixed-Wing UAV Corresponding to Overlap and GCPs

중복도와 지상기준점에 따른 고정익 UAV 기반 정사영상 및 DSM의 품질 평가

  • Received : 2016.01.28
  • Accepted : 2016.05.09
  • Published : 2016.09.30
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Abstract

UAV(unmanned aerial vehicle) can quickly produce orthoimage with high-spatial resolution and DSM(digital surface model) at low cost. However, vertical and horizontal positioning accuracy of orthoimage and DSM, which are obtained by UAV, are influenced by image processing techniques, quality of aerial photo, the number and position of GCPs(ground control points) and overlap in flight plan. In this study, effects of overlap and the number of GCPs are analyzed in orthoimage and DSM. Positioning accuracy are estimated based on RMSE(root mean square error) by using dataset of nine pairs. In the experiments, Overlaps and the number of GCPs have influence on horizontal and vertical accuracy of orthoimage and DSM.

UAV(unmanned aerial vehicle)은 적은 비용으로 고해상도 정사영상과 DSM(digital surface model)을 빠르게 생성할 수 있다. 그러나, UAV에 의하여 획득된 정사영상과 DSM의 수직 및 수평위치 정확도는 영상처리 기술, 항공사진의 품질, GCPs(ground control points)의 개수와 위치, 촬영경로 상의 중복도에 영향을 받는다. 본 연구에서는, 정사영상과 DSM의 생성에 있어 중복도와 GCP의 개수가 미치는 영향을 분석하고자 하였다. 위치정확도는 9쌍의 자료를 이용한 RMSE(root mean square error)을 기반으로 평가하였다. 실험결과, GCP의 개수와 중복도는 수평위치 및 수직위치 정확도에 영향을 미치는 것을 확인하였다.

Keywords

References

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