Hailiang Shi and Xiangjun Xin


  1. [1] M.C. Aud´ıcana, J.L. Saleta, R.G. Catal´an, and R. Garc´ıa, Fu-sion of multispectral and panchromatic images using improvedIHS and PCA mergers based on wavelet decomposition, IEEETransactions on Geoscience and Remote Sensing, 42(6), 2004,1291–1299.
  2. [2] S. Hailiang, T. Baohui, and W. Yuanzheng, Fusion of mul-tispectral and panchromatic satellite images using principalcomponent analysis and nonsubsampled contourlet transform,Proc. Int. Conf. Fuzzy Systems and Knowledge Discovery,Yantai, China, 2010, 2312–2315.
  3. [3] S. Hailiang and X. Peixu, Fusion of remote sensing imagesbased on principal component analysis and nonsubsampledcontourlet transform, Proc. Int. Conf. Computer Applicationand System Modeling, Taiyuan, China, 2010, 10, 534–538.
  4. [4] T. Ranchin, B. Aiazzi, L. Alparone, S. Baronti, and L. Wald,Image fusion – The ARSIS concept and some successful im-plementation schemes, ISPRS Journal of Photogrammetry &Remote Sensing, 58(1–2), 2003, 4–18.
  5. [5] M.N. Do and M. Vetterli, The contourlet transform: Anefficient directional multiresolution image representation, IEEETransactions on Image Processing, 14(12), 2005, 2091–2106.
  6. [6] Z. Qiang and W. Baoshu, Multifocus image fusion using thenonsubsampled contourlet transform, Signal Processing, 89(7),2009, 1334–1346.
  7. [7] A.L.D. Cunha, Z. Jiangping, and M.N. Do, The nonsubsampledcontourlet transform: Theory, design and applications, IEEETransactions on Image Processing, 15(10), 2006, 3089–3101.
  8. [8] Z. Jiangping, A.L.D. Cunha, and M.N. Do, Nonsubsampledcontourlet transform: Construction and application in en-hancement, Proc. Int. Conf. Image Processing, Genoa, Italy,2005, 469–472.
  9. [9] Y. Chen and R.S. Blum, A new automated quality assessmentalgorithm for image fusion, Image and Vision Computing,27(10), 2009, 1421–1432.
  10. [10] C.S. Xydeas and V. Petrovic, Objective image fusion perfor-mance measure, Electronics Letters, 36(4), 2000, 308–309.
  11. [11] Z. Wang and A.C. Bovik, A universal image quality index,IEEE Signal Processing Letters, 9(3), 2002, 81–84.
  12. [12] T. Ranchin and L. Wald, Fusion of high spatial and spectralresolution images: The ARSIS concept and its implementation,Photogrammetric Engineering and Remote Sensing, 66(1),2000, 49–61.

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