• Chinese Optics Letters
  • Vol. 6, Issue 8, 558 (2008)
Qin Luo1, Zheng Tian1、2, and Zhixiang Zhao1
Author Affiliations
  • 1Department of Applied Mathematics, Northwestern Polytechnical University, Xi’an 710072
  • 2State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101
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    DOI: 10.3788/COL20080608.0558 Cite this Article Set citation alerts
    Qin Luo, Zheng Tian, Zhixiang Zhao. Shrinkage-divergence-proximity locally linear embedding algorithm for dimensionality reduction of hyperspectral image[J]. Chinese Optics Letters, 2008, 6(8): 558 Copy Citation Text show less
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    CLP Journals

    [1] Zhang Miao, Shen Yi, Wang Qiang. Nonlinear Correlation Coefficient Based Kernel Method for Hyperspectral Data Classification[J]. Acta Optica Sinica, 2009, 29(9): 2607

    Data from CrossRef

    [1] Jinhuan Wen, Zheng Tian, Hongwei She, Weidong Yan. Feature extraction of hyperspectral images based on preserving neighborhood discriminant embedding. 2010 International Conference on Image Analysis and Signal Processing, 257(2010).

    [2] Jinhuan Wen, Weidong Yan, Wei Lin. Supervised linear manifold learning feature extraction for hyperspectral image classification. 2014 IEEE Geoscience and Remote Sensing Symposium, 3710(2014).

    [3] Xiaojuan Xu, Jin Zhu, Zhihan Lv. Artistic Color Virtual Reality Implementation Based on Similarity Image Restoration. Complexity, 2021, 1(2021).

    Qin Luo, Zheng Tian, Zhixiang Zhao. Shrinkage-divergence-proximity locally linear embedding algorithm for dimensionality reduction of hyperspectral image[J]. Chinese Optics Letters, 2008, 6(8): 558
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