Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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Unsupervised Change Detection Based on Sequential Spectral Change Vector Analysis for Updating Land Cover Map

토지피복지도 갱신을 위한 S2CVA 기반 무감독 변화탐지

  • Park, Nyunghee (Department of Civil Engineering, Chungbuk National University) ;
  • Kim, Donghak (Department of Civil Engineering, Chungbuk National University) ;
  • Ahn, Jaeyoon (School of Civil Engineering, Chungbuk National University) ;
  • Choi, Jaewan (Department of Civil Engineering, Chungbuk National University) ;
  • Park, Wanyong (Agency for Defense Development) ;
  • Park, Hyunchun (Agency for Defense Development)
  • Received : 2017.11.09
  • Accepted : 2017.12.05
  • Published : 2017.12.31
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Abstract

In this study, we tried to utilize results of the change detection analysis for satellite images as the basis for updating the land cover map. The Sequential Spectral Change Vector Analysis ($S^2CVA$) was applied to multi-temporal multispectral satellite imagery in order to extract changed areas, efficiently. Especially, we minimized the false alarm rate of unsupervised change detection due to the seasonal variation using the direction information in $S^2CVA$. The binary image, which is the result of unsupervised change detection, was integrated with the existing land cover map using the zonal statistics. And then, object-based analysis was performed to determine the changed area. In the experiment using PlanetScope data and the land cover map of the Ministry of Environment, the change areas within the existing land cover map could be detected efficiently.

본 연구에서는 위성영상에 대한 변화탐지 기법의 결과를 토지피복지도 갱신의 기초자료로 활용하고자 하였다. $S^2CVA$(Sequential Spectral Change Vector Analysis) 기법을 다시기 다중분광 위성영상에 적용하여 해당 지역 내의 변화지역을 추출하였다. 특히, 분광변화벡터의 방향정보를 이용하여 계절적 변화에 의한 변화지역의 오탐지를 최소화하고자 하였다. 변화탐지 결과인 이진영상은 구역통계를 활용하여 토지 피복도와 함께 통합하였으며, 토지피복지도 갱신을 위하여 객체 기반의 분석을 수행하였다. PlanetScope 자료와 환경부의 토지피복지도를 이용한 실험결과, 토지피복지도 내에 변화된 지역을 효과적으로 탐지할 수 있음을 확인하였다.

Keywords

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