Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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WorldView-2 pan-sharpening by minimization of spectral distortion with least squares

  • Choi, Myung-Jin (Satellite Information Research Institute, Korea Aerospace Research Institute)
  • Received : 2011.05.11
  • Accepted : 2011.06.02
  • Published : 2011.06.30
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Abstract

Although the intensity-hue-saturation (IHS) method for pan-sharpening has a spectral distortion problem, it is a popular method in the remote sensing community and has been used as a standard procedure in many commercial packages due to its fast computing and easy implementation. Recently, IHS-like approaches have tried to overcome the spectral distortion problem inherited from the IHS method itself and yielded a good result. In this paper, a similar IHS-like method with least squares for WorldView-2 pan-sharpening is presented. In particular, unlike the previous methods with three or four-band multispectral images for pan-sharpening, six bands of WorldView-2 multispectral image located within the range of panchromatic spectral radiance responses are considered in order to reduce the spectral distortion during the merging process. As a result, the new approach provides a satisfactory result, both visually and quantitatively. Furthermore, this shows great value in spectral fidelity of WorldView-2 eight-band multispectral imagery.

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References

  1. Choi, M., 2006. A new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter, IEEE Transactions on Geoscience and Remote Sensing, 44(6): 1672-1682. https://doi.org/10.1109/TGRS.2006.869923
  2. Choi, M. J., J. H. Song, D. C. Seo, D. H. Lee, and H. S. Lim, 2007a. Introduction of a Fast Substitute Wavelet Intensity Method of Pan-sharpening Technique, Korean Journal of Remote Sensing, 23(5): 1-7. https://doi.org/10.7780/kjrs.2007.23.5.347
  3. Choi, M., 2007b. Erratum to "A new look at IHS-like image fusion methods" [Information Fusion 2 (2001) 177-186], Information Fusion, 8(2): 217-217. https://doi.org/10.1016/j.inffus.2006.10.005
  4. Kim, H. C., J. G. Kuk, H. S. Song, H. S. Lee, M. J. Choi, and N. I. Cho, 2007. IKONOS image fusion by minimisation of spectral distortion using MAP estimator, Electronics Letters, 43(18): 970-971. https://doi.org/10.1049/el:20070940
  5. Stathaki, T., 2008. Image Fusion: Algorithms and Applications, Elsevier.
  6. Tu, T. M., S. C. Su, H. C. Shyn, and P. S. Huang, 2001. A new look at IHS-like image fusion methods, Information Fusion, 2(3): 177-186. https://doi.org/10.1016/S1566-2535(01)00036-7
  7. Tu, T. M., P. S. Huang, C. L. Hung, and C. P. Chang, 2004. A fast intensity-hue-saturation fusion technique with spectral adjustment for IKONOS imagery, IEEE Geoscience and Remote Sensing Letters, 1(4): 309-312. https://doi.org/10.1109/LGRS.2004.834804
  8. Wald, L., T. Ranchin, and M. Mangolini, 1997. Fusion of Satellite Images of Different Spatial Resolutions: Assessing the Quality of Resulting Images, Photogrammetry Engineering and Remote Sensing, 63(6): 691-699.
  9. Zhang, Y., 2004. Understanding image fusion, Photogrammetry Engineering and Remote Sensing, 70(6): 653-760.