Aerospace Engineering and Technology (항공우주기술)

Korea Aerospace Research Institute (한국항공우주연구원)
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A Trade-off Image Fusion Technique Using Fast Intensity-Hue-Saturation Transform

Fast IHS 변환을 이용한 trade-off 영상 융합기법

  • Received : 2008.12.17
  • Accepted : 2009.11.01
  • Published : 2009.11.01
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Abstract

In the satellite image fusion, the most important point is to preserve both the spatial detail of panchromatic(PAN) image and the spectral information of multispectral(MS) image. Among various image fusion techniques, fusion technique using Intensity-Hue-Saturation(IHS) transform is widely used and it has advantage that computation is very simple. In this study, a fusion technique using fast IHS transform and trade-off parameter $\alpha^i$ proposed. Proposed fusion technique permits customization of the trade-off between the spectral information and spatial detail quality of the fused image through the evaluation of two quality indices: a spectral index(the spectral ERGAS) and a spatial one(the spatial ERGAS). Based on the result of experiment using IKONOS image, we confirmed the proposed fusion technique was more effective in preserving spatial detail and spectral information than existing fusion techniques using fast IHS transform.

위성영상의 융합에 있어, 가장 중요한 점은 전정영상의 공간적 세밀함과 다중분광영상의 분광정보 모두를 보존하는 것이다. 다양한 영상융합 기법 중에서, IHS 변환을 이용한 융합기법은 폭넓게 사용되고 있으며, 계산과정이 매우 단순하다는 장점을 갖고 있다. 본 연구에서는, fast IHS 변환과 trade-off 파라미터 $\alpha^i$를 이용한 융합기법을 제안한다. 제안한 융합 기법은 분광 ERGAS와 공간 ERGAS의 평가를 통하여, 융합영상에서 분광정보와 공간적 세밀함 사이의 trade-off 최적화를 가능하게 한다. IKONOS 영상의 실험결과, 제안한 기법은 기존의 fast IHS 변환을 이용한 융합기법에 비해 공간적 세밀함과 분광정보의 보존측면에서 더 효과적임을 확인할 수 있었다.

Keywords

References

  1. Lillo-Saacedra, M., and Gonzalo, C., 2006, Spectral of spatial quality for fused satellite imagery? A trade-off solution using the wavelet a'trous algorithm, International Journal of Remote SEnsing, Vol. 27, No. 7, 1453-1464. https://doi.org/10.1080/01431160500462188
  2. Malpica, J.A. 2007, Hue adjustment to IHS pan-sharpened IKONOS imagery for vegetation enhancement, IEEE Transaction on Geoscience and Remote sensing, Vol. 4, No. 1, pp. 27-31. https://doi.org/10.1109/LGRS.2006.883523
  3. Pohl, C., and van Genderen, J.L. 1998, Multisensor image fusion in remote sensing: concepts, methods and application. International Journal of Remote Sensing, Vol. 19, No. 5, pp. 823-854. https://doi.org/10.1080/014311698215748
  4. Tu, T.M., Huang, P.S., Hung, C.L., Chang, C.P., 2004, A fast Intensity-Hue-Saturation fusion technique with spectral adjustment for IKONOS imagery, IEEE Transaction on Geoscience and Remote sensing, Vol. 4, No. 1, pp. 27-31.
  5. Wald, L. 2002, Data Fusion: Definitions and architectures fusion of images of different spatial resolution, Les Presses de l'Ecole des Mines, Paris.
  6. Zhang, Y. 2004, Understanding image fusion, Photogrammetric Engineering and Remote Sensing, Vol. 70, No. 6, pp. 653-760.