대한원격탐사학회지 (Korean Journal of Remote Sensing)

대한원격탐사학회 (Korean Society of Remote Sensing)
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KOMPSAT 광학영상을 이용한 광범위지역의 도시개발 변화탐지

Change Detection of Urban Development over Large Area using KOMPSAT Optical Imagery

  • 한유경 (경북대학교 융복합시스템공학부) ;
  • 김태헌 (경북대학교 융복합시스템공학부) ;
  • 한수희 (경일대학교 공간정보공학과) ;
  • 송정헌 ((주)하이퍼센싱)
  • Han, Youkyung (School of Convergence & Fusion System Engineering, Kyungpook National University) ;
  • Kim, Taeheon (School of Convergence & Fusion System Engineering, Kyungpook National University) ;
  • Han, Soohee (Department of Geoinformatics Engineering, Kyungil University) ;
  • Song, Jeongheon (Hypersensing Inc.)
  • 투고 : 2017.11.15
  • 심사 : 2017.12.14
  • 발행 : 2017.12.31
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초록

본 연구는 KOMPSAT 광학영상을 이용하여 광범위지역에 대한 도시개발 변화를 탐지하는 방법론을 제시한다. 다른 시기에 취득된 KOMPSAT 영상 간의 방사적인 불일치를 최소화하기 위해서, 본 연구에서는 광범위지역에 대한 변화탐지에 적합한 영역별 간이 방사보정을 전처리과정으로 적용하였다. 도시개발에 대한 변화탐지 결과정확도를 향상시키기 위해서, 환경부에서 제공하는 중분류 토지피복도를 이용하여 수계, 산림과 같은 비관심지역을 제거하였다. 대표적인 변화탐지 기법인 분광변화벡터분석(Change Vector Analysis, CVA) 기법을 적용하여 도시개발에 의해 발생한 변화를 탐지하였다. 제안 기법에 대한 적용을 위해 세종시를 연구지역으로 선정하였으며, 2007년 5월과 2016년 5월에 KOMPSAT-2호로 취득한 영상과 2014년 3월에 KOMPSAT-3호로 취득한 영상을 조합하여 총 세 실험지역을 구축하였다. 2007년 5월 KOMPSAT-2호 영상과 2014년 3월 KOMPSAT-3호 영상으로 구성된 실험지역에 대한 변화탐지 정확도 평가를 수행한 결과, 약 91.00%의 변화탐지 전체정확도를 보였다. 본 연구를 통해 넓은 지역에 대량으로 발생한 도시개발 변화를 효과적으로 탐지할 수 있음을 확인하였다.

This paper presents an approach to detect changes caused by urban development over a large area using KOMPSAT optical images. In order to minimize the radiometric dissimilarities between the images acquired at different times, we apply the grid-based rough radiometric correction as a preprocessing to detect changes in a large area. To improve the accuracy of the change detection results for urban development, we mask-out non-interest areas such as water and forest regions by the use of land-cover map provided by the Ministry of Environment. The Change Vector Analysis(CVA) technique is applied to detect changes caused by urban development. To confirm the effectiveness of the proposed approach, a total of three study sites from Sejong City is constructed by combining KOMPSAT-2 images acquired on May 2007 and May 2016 and a KOMPSAT-3 image acquired on March 2014. As a result of the change detection accuracy evaluation for the study site generated from the KOMPSAT-2 image acquired on May 2007 and the KOMPSAT-3 image acquired on March 2014, the overall accuracy of change detection was about 91.00%. It is demonstrated that the proposed method is able to effectively detect urban development changes in a large area.

키워드

참고문헌

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