• Optics and Precision Engineering
  • Vol. 24, Issue 4, 873 (2016)
HUANG Hong* and ZHENG Xin-lei
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/ope.20162404.0873 Cite this Article
    HUANG Hong, ZHENG Xin-lei. Hyperspectral image classification with combination of weighted spatial-spectral and KNN[J]. Optics and Precision Engineering, 2016, 24(4): 873 Copy Citation Text show less
    References

    [1] LI ZH M, ZHANG J, HUANG H, et al.. Semi-supervised bundle manifold learning for hyperspectral image classification[J]. Opt. Precision Eng., 2015, 23(5): 1434-1442. (in Chinese)

    [2] ZHANG D, ZHENG Y Q. The development and application of hyperspectral remote sensing[J]. Optical and Photoelectric Technology, 2013, 11(3): 67-73. (in Chinese)

    [3] TANG ZH Q, FU G Y, CH J, et al.. Multiscale segmentation-based sparse coding for hyperspectral image classification[J]. Opt. Precision Eng., 2015, 23(9): 2708-2714. (in Chinese)

    [4] 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.

    [5] HUANG H, QU H P. Hyperspectral remote sensing image classification based on SSDE[J]. Opt. Precision Eng., 2014, 22(2): 434-442. (in Chinese)

    [6] MA L, CRAWFORD M M, TIAN J W. Local manifold learning-based k-Nearest-Neighbor for hyperspectral image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(11): 4099-4109.

    [7] SHAFRI H Z M, SUHAILI A, MANSOR S. The performance of maximum likelihood, spectral angle mapper, neural network and decision tree classifiers in hyperspectral image analysis[J]. Journal of Computer Science, 2007, 3(6): 419-423.

    [8] GUO B F, GUNN S R, DAMPER R I, et al.. Customizing kernel functions for SVM-based hyperspectral image classification[J]. IEEE Transactions on Image Processing, 2008, 17(4): 622-629.

    [9] GUO J M, HE X, WEI ZH H. New mean shift tracking for color image based on online support vector machine[J]. Chinese Journal of Liquid Crystals and Displays, 2014, 29(1): 120-128. (in Chinese)

    [10] WEI F, HE M Y, MEI SH H. Hyperspectral data feature extraction using spatial coherence based neighborhood preserving embedding[J]. Infrared and Laser Engineering, 2012, 41(5): 1249-1254. (in Chinese)

    [11] VELASCO F S, MANIAN V. Improving hyperspectral image classification using spatial preprocessing[J]. IEEE Geoscience and Remote Sensing Letters, 2009, 6(2): 297-301.

    [12] 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.

    [13] MOHAN A, SAPIRO G, BOSCH E. Spatially coherent nonlinear dimensionality reduction and segmentation of hyperspectral images[J]. IEEE Geoscience and Remote Sensing Letters, 2007, 4(2): 206-210.

    [14] KANG X D, LI S T, BENEDIKTSSON J A. Spectral-Spatial hyperspectral image classification with Edge-Preserving Filtering[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(5): 2666-2677.

    [15] YUAN H L, TANG Y Y, LU Y, et al.. Spectral-Spatial classification of hyperspectral image based on discriminant analysis[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(6): 2035-2043.

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    HUANG Hong, ZHENG Xin-lei. Hyperspectral image classification with combination of weighted spatial-spectral and KNN[J]. Optics and Precision Engineering, 2016, 24(4): 873
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