• Acta Optica Sinica
  • Vol. 38, Issue 4, 0428001 (2018)
Xinfang Xie, Xin Xu*, Hao Dong, Han Wu, and Luoru Li
Author Affiliations
  • School of Electronic Information, Wuhan University, Wuhan, Hubei 430072, China
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    DOI: 10.3788/AOS201838.0428001 Cite this Article Set citation alerts
    Xinfang Xie, Xin Xu, Hao Dong, Han Wu, Luoru Li. A Semi-Supervised Dimension Reduction Method for Polarimetric SAR Image Classification[J]. Acta Optica Sinica, 2018, 38(4): 0428001 Copy Citation Text show less
    References

    [1] Uhlmann S, Kiranyaz S. Integrating color features in polarimetric SAR image classification[J]. IEEE Transactions on Geoscience & Remote Sensing, 52, 2197-2216(2014). http://ieeexplore.ieee.org/document/6522486/

    [2] Zou T, Yang W, Dai D et al. Polarimetric SAR image classification using multifeatures combination and extremely randomized clustering forests[J]. EURASIP Journal on Advances in Signal Processing, 2010, 465612(2009). http://link.springer.com/article/10.1155/2010/465612

    [3] Shi L, Zhang L, Yang J et al. Supervised graph embedding for polarimetric SAR image classification[J]. IEEE Geoscience & Remote Sensing Letters, 10, 216-220(2013). http://ieeexplore.ieee.org/document/6217277/

    [4] Shi L, Zhang L, Zhao L et al. The potential of linear discriminative Laplacian eigenmaps dimensionality reduction in polarimetric SAR classification for agricultural areas[J]. ISPRS Journal of Photogrammetry & Remote Sensing, 86, 124-135(2013). http://www.sciencedirect.com/science/article/pii/S0924271613002219

    [5] Cai D, He X, Han J. Semi-supervised discriminant analysis[C]. IEEE International Conference on Computer Vision, 1-7(2007).

    [6] Zhang P Q, Tan X, Xu X C et al. Hyperspectral imagery feature extraction based on kernel semi-supervised discriminant analysis[J]. Journal of Geomatics Science and Technology, 33, 258-262(2016).

    [7] Sun X, Huang P P, Tu S T et al. Polarimetric SAR image classification using multiple-feature fusion and ensemble learning[J]. Journal of Radars, 5, 692-700(2016).

    [8] Zhu D X. Semi-supervised dimensionality reduction methods for polarimetric SAR classification Xi'an:[D]. Xidian University, 20-50(2015).

    [9] Song C, Xu X, Gui R et al. Polarimetric synthetic aperture radar feature analysis and classification based on multi-layer support vector machine classifier[J]. Journal of Computer Application, 37, 224-250(2017).

    [10] Roweis S T, Saul L K. Nonlinear dimensionality reduction by locally linear embedding[J]. Science, 290, 2323-2326(2000). http://jigpal.oxfordjournals.org/cgi/ijlink?linkType=ABST&journalCode=sci&resid=290/5500/2323

    [11] Liu H, Zhu D, Yang S et al. Semisupervised feature extraction with neighborhood constraints for polarimetric SAR classification[J]. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 9, 3001-3015(2016). http://ieeexplore.ieee.org/document/7434574/

    [12] Ye Z, Bai L, Nian Y J. Hyperspectral image classification algorithm based on Gabor feature and locality-preserving dimensionality reduction[J]. Acta Optica Sinica, 36, 1028003(2016).

    [13] Zhang J J, Zhou X Y, Liu Q. Improved dimensionality reduction algorithm of large-scale hyperspectral scenes using manifold[J]. Acta Optica Sinica, 33, 1128001(2013).

    [14] Wang Y C, Guo J B, Zhou L Y. Image Hash algorithm based on data dimension reduction and symmetric binary pattern[J]. Laser & Optoelectronics Progress, 54, 021004(2017).