• Opto-Electronic Engineering
  • Vol. 34, Issue 10, 59 (2007)
[in Chinese]1、2, [in Chinese]3, and [in Chinese]1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: Cite this Article
    [in Chinese], [in Chinese], [in Chinese]. Terrain re-sampling of imaging lidar based on support vector machines[J]. Opto-Electronic Engineering, 2007, 34(10): 59 Copy Citation Text show less
    References

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    [7] Suykens J A K,Vandewalle J.Nonlinear Modeling:Advanced Black-box Techniques[M].Boston:Kluwer Academic Publishers,1998.

    [8] Suykens J A K.Weighted Least Squares Support Vector Machines:Robustness and Sparse Approximation[J].Neurocomputing,2002,48:85-105.

    [10] Chua K S.Efficient Computations for Large Least Square Support Vector Machine Classifiers[J].Pattern Recognition Letters,2003,24:75-80.

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    [13] Zheng S.Novel Algorithm for Image Interpolation[J].Opt.Eng,2004,43(4):856-865.

    [14] Lee Seungyong,Wolberg George,Shin Sungyong.Scattered Data Interpolation with Multilevel B-Splines[J].IEEE Trans.on Visualization and Computer Graphics,1997,3(3):228-245.

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    [in Chinese], [in Chinese], [in Chinese]. Terrain re-sampling of imaging lidar based on support vector machines[J]. Opto-Electronic Engineering, 2007, 34(10): 59
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