• Acta Photonica Sinica
  • Vol. 45, Issue 10, 1030001 (2016)
HUANG Hong*, ZHENG Xin-lei, and LUO Fu-lin
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/gzxb20164510.1030001 Cite this Article
    HUANG Hong, ZHENG Xin-lei, LUO Fu-lin. Hyperspectral Image Classification with Combination of Weighted Mean Filter and Manifold Reconstruction Preserving Embedding[J]. Acta Photonica Sinica, 2016, 45(10): 1030001 Copy Citation Text show less
    References

    [1] WANG Zeng-mao, DU Bo, ZHANG Liang-pei, et al. Based on texture feature and extend morphological profile fusion for hyperspectral image classification[J]. Acta Photonica Sinica, 2014, 43(8): 0810002.

    [2] CHEN J W, JIAO L C. Hyperspectral imagery classification using local collaborative representation[J]. International Journal of Remote Sensing, 2015, 36(3): 734-738.

    [3] LIU Yan-de, DENG Qing. Measurement of chlorophyll distribution in navel orange leaves based on hyper-spectral imaging technique[J]. Chinese Journal of Luminescence, 2015, 36(8): 957-961.

    [4] HUANG H, LUO F L, LIU J M, et al. Dimensionality reduction of hyperspectral images based on sparse discriminant manifold embedding[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 106: 42-54.

    [5] PRASAD S, BRUCE L M. Limitations of principal components analysis for hyperspectral target recognition[J]. IEEE Geoscience and Remote Sensing Letters, 2008, 5(4): 625-629.

    [6] BANDOS T V, BRUZZONE L, CAMPS-VALLS G. Classification of hyperspectral images with regularized linear discriminant analysis[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(3): 862-873.

    [7] ROWEIS S T, SAUL L K. Nonlinear dimensionality reduction by locally linear embedding [J]. Science, 2000, 290(5500): 2323-2326.

    [8] TENENBAUM J B, SILVA V, LANGFORD J C. A global geometric framework for nonlinear dimensionality reduction[J]. Science, 2000, 290(5500): 2319-2323.

    [9] BELKIN M, NIYOGI P. Laplacian eigenmaps for dimensionality reduction and data representation[J]. Neural Computation, 2003, 15(6): 1373-1396.

    [10] HE X F, CAI D, YAN S C, et al. Neighborhood preserving embedding[C]. Proceedings of the 10th IEEE International Conference on Computer Vision. Beijing, China, 2005: 1208-1213.

    [11] HE X F, NIYOGI P. Locality preserving projections[C]. Proceedings of the Advances in Neural Information Processing Systems. Vancouver, Canada, 2004: 153-160.

    [12] PU H Y, CHEN Z, WANG B, et al. A novel spatial-spectral similarity measure for dimensionality reduction and classification of hyperspectral imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(11): 7008-7022.

    [13] FAUVEL M, TARABALKA Y, BENEDIKTSSON J A, et al. Advances in spectral-spatial classification of hyperspectral images[J]. Proceedings of the IEEE, 2013, 101(3): 652-675.

    [14] TAN K, HU J, LI J, et al. A novel semi-supervised hyperspectral image classification approach based on spatial neighborhood information and classifier combination[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 105: 19-29.

    [15] WEI Feng, HE Ming-yi, MEI Shao-hui. Hyperspectral data feature extraction using spatial coherence based neighborhood preserving embedding[J]. Infrared and Laser Engineering, 2012, 41(5): 1249-1254.

    [16] KANG X D, LI S T, BENEDIKTSSON J A. Feature extraction of hyperspectral images with image fusion and recursive filtering[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(6): 3742-3752.

    [17] LUO Fu-lin, HUANG Hong, LIU Jia-min, et al. Hyperspectral image land cover classification based on discriminant sparse preserving embedding[J]. Chinese Journal of Scientific Instrument, 2016, 37(1): 177-183.

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    HUANG Hong, ZHENG Xin-lei, LUO Fu-lin. Hyperspectral Image Classification with Combination of Weighted Mean Filter and Manifold Reconstruction Preserving Embedding[J]. Acta Photonica Sinica, 2016, 45(10): 1030001
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