Journal of Korean Society for Geospatial Information Science (대한공간정보학회지)

Korea Spatial Information Society (대한공간정보학회)
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Extracting Method The New Roads by Using High-resolution Aerial Orthophotos

고해상도 항공정사영상을 이용한 신설 도로 추출 방법에 관한 연구

  • Lee, Kyeong Min (Department of Civil Engineering, Chonbuk National University) ;
  • Go, Shin Young (Department of Civil Engineering, Chonbuk National University) ;
  • Kim, Kyeong Min (Department of Civil Engineering, Chonbuk National University) ;
  • Cho, Gi Sung (Department of Civil Engineering, Chonbuk National University)
  • Received : 2014.05.20
  • Accepted : 2014.09.12
  • Published : 2014.09.30
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Abstract

Digital maps are made by experts who digitize the data from aerial image and field survey. And the digital maps are updated every 2 years in National Geographic Information Institute. Conventional Digitizing methods take a lot of time and cost. And geographic information needs to be modified and updated appropriately as geographical features are changing rapidly. Therefore in this paper, we modify the digital map updates the road information for rapid high-resolution aerial orthophoto taken at different times were performed HSI color conversion. Road area of the cassification was performed the region growing methods. In addition, changes in the target area for analysis by applying the CVA technique to compare the changed road area by analyzing the accuracy of the proposed extraction.

수치지형도는 항공영상 및 현장조사 자료를 바탕으로 전문가의 숙련된 과정을 통해 제작되며 수치지형도는 2년 주기로 수정 갱신한다. 이러한 수치지형도 제작에는 많은 시간이 소모되어 급변하는 지형정보의 신속한 수정 갱신이 요구된다. 따라서 본 논문에서는 간결하고 신속한 수치지형도의 갱신 방법을 위해 촬영시기가 다른 동일 대상 지역의 고해상도 항공정사영상을 이용하여 RGB 컬러모델에서 HSI 컬러변환을 실시한다. 이에 얻어진 채도값을 기준으로 영역확장기법 및 모폴로지를 적용하여 도로영역의 객체 분류를 수행하였으며 대상지역의 지형변화 탐측을 위해 CVA 기법을 적용하여 변화된 도로영역의 추출정확도를 비교 분석하여 제시하였다.

Keywords

References

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