KSCE Journal of Civil and Environmental Engineering Research (대한토목학회논문집)

Korean Society of Civil Engeneers (대한토목학회)
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Modified a'trous Algorithm based Wavelet Pan-sharpening Method Using IKONOS Image

IKONOS 영상을 이용한 수정된 a'trous 알고리즘 기반 웨이블릿 영상융합 기법

  • 김용현 (서울대학교 건설환경공학부 공간정보연구실) ;
  • 최재완 (서울대학교 건설환경공학부 공간정보연구실) ;
  • 김혜진 (서울대학교 건설환경공학부 공간정보연구실) ;
  • 김용일 (서울대학교 건설환경공학부)
  • Received : 2008.06.03
  • Accepted : 2008.09.19
  • Published : 2009.03.31
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Abstract

The object of image fusion is to integrate information from multiple images as the same scene. In the satellite image fusion, many image fusion methods have been proposed for combining a high resolution panchromatic(PAN) image with low resolution multispectral(MS) images and it is very important to preserve both the spatial detail and the spectral information of fusion result. The image fusion method using wavelet transform shows good result compared with other fusion methods in preserving spectral information. This study proposes a modified a'trous algorithm based wavelet image fusion method using IKONOS image. Based on the result of experiment using IKONOS image, we confirmed that proposed method was more effective in preserving spatial detail and spectral information than existing fusion methods using a'trous algorithm.

영상융합의 목적은 다양한 영상으로부터의 정보를 하나의 영상으로 통합하는 것이다. 위성영상의 융합에 있어, 고해상도의 전정영상과 저해상도의 다중분광영상을 결합하기 위해 많은 영상 융합기법들이 제안되어왔으며, 융합결과의 공간적 세밀함과 분광정보 모두를 보존하는 것은 매우 중요하다. 웨이블릿 변환을 이용한 영상 융합기법은 분광정보의 보존 측면에서 다른 융합 기법에 비해 좋은 결과를 나타낸다. 본 연구에서는 IKONOS 영상을 이용한 수정된 a'trous 알고리즘 기반 웨이블릿 영상융합 기법을 제안한다. IKONOS 영상의 실험결과, 기존의 a'trous 알고리즘을 이용한 융합기법에 비해 공간적 세밀함과 분광정보의 보존측면에서 더 효과적인 기법임을 확인할 수 있었다.

Keywords

References

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