Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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Region-based Building Extraction of High Resolution Satellite Images Using Color Invariant Features

색상 불변 특징을 이용한 고해상도 위성영상의 영역기반 건물 추출

  • Ko, A-Reum (Dept. of Civil and Environmental Engineering, Seoul National University) ;
  • Byun, Young-Gi (Korea Aerospace Research Institute) ;
  • Park, Woo-Jin (Dept. of Civil and Environmental Engineering, Seoul National University) ;
  • Kim, Yong-Il (Dept. of Civil and Environmental Engineering, Seoul National University)
  • 고아름 (서울대학교 공과대학 건설환경공학부) ;
  • 변영기 (한국항공우주연구원) ;
  • 박우진 (서울대학교 공과대학 건설환경공학부) ;
  • 김용일 (서울대학교 공과대학 건설환경공학부)
  • Received : 2011.03.19
  • Accepted : 2011.04.10
  • Published : 2011.04.30
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Abstract

This paper presents a method for region-based building extraction from high resolution satellite images(HRSI) using integrated information of spectral and color invariant features without user intervention such as selecting training data sets. The purpose of this study is also to evaluate the effectiveness of the proposed method by applying to IKONOS and QuickBird images. Firstly, the image is segmented by the MSRG method. The vegetation and shadow regions are automatically detected and masked to facilitate the building extraction. Secondly, the region merging is performed for the masked image, which the integrated information of the spectral and color invariant features is used. Finally, the building regions are extracted using the shape feature for the merged regions. The boundaries of the extracted buildings are simplified using the generalization techniques to improve the completeness of the building extraction. The experimental results showed more than 80% accuracy for two study areas and the visually satisfactory results obtained. In conclusion, the proposed method has shown great potential for the building extraction from HRSI.

본 연구에서는 고해상도 위성영상을 이용하여 기존의 훈련지역 선정과 같은 사용자 개입 없이, 영상의 다중분광 및 색상 불변 특정 정보를 통합한 영역기반 건물 추출 방법론을 개발하고, 이를 IKONOS와 QuickBird 영상에 적용하여 개발된 방법의 효용성을 평가하는데 목적이 있다. 이를 위해 우선 영상을 시드기반 영역확장기법인 MSRG기법을 이용하여 분할한 후, 건물 추출의 편의성을 높이기 위한 전처리 과정의 일환으로 분할된 영상에서 식생과 그림자 객체를 자동으로 탐지하여 제거하였다. 객체단위의 건물 추출을 위해 다중분광 및 색상 불변 특정 정보가 통합된 영역 병합 과정을 통해 식생과 그림자 객체가 제거된 분할영역에 대하여 영역 병합을 수행하였고, 최종적으로 병합된 분할영역의 형상 특징 정보를 이용하여 건물 영역을 추출하였다. 또한 보다 완전성 높은 건물 추출을 위해 일반화 기법을 이용하여 추출된 건물의 외곽선을 단순화하였다. 실험 결과, 대상지역 모두에서 80% 이상의 건물탐지 정확도를 보였으며 시각적으로도 우수한 결과를 도출하였다. 결과적으로 제안된 방법은 고해상도 위성영상의 건물 추출에 유용하게 적용될 수 있으리라 판단된다.

Keywords

Acknowledgement

Supported by : 한국연구재단

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