Electro-Optic Technology Application, Volume. 29, Issue 3, 34(2014)

Classification Algorithm of High Spatial Resolution Imagery Based on Spectrum and Texture Features

HUANG Li-xian... SHEN Zhi-xue, LUO Yong-quan and ZHANG Da-yong |Show fewer author(s)
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    References(8)

    [1] [1] Marceau D J, Howarth P J, Dubois J M, et al. Evaluation of the grey-level co-occurrence Matrix method for land-cover classification using SPOT imagery [J]. IEEE Transactions on Geoscience and Remote Sensing, 1990, 28(4): 513-519.

    [2] [2] Gong P, Marceau D J, Howarth P J. A comparison of spatial feature extraction algorithms for land-use classification with SPOT HRV data [J]. Remote Sensing of Environment, 1992, 40: 137-151.

    [5] [5] ZHANG Y. Optimization of building detection in satellite images by combining multispectral classification and texture filtering [J]. ISPRS Journal of Photogrammetry and Remote Sensing, 1999, 54: 50-60.

    [7] [7] Benediktsson JA, Palmason JA, Sveinsson JR. Classification of hyperspectral data from urban areas based on extended morphological profiles [J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(3): 480-491.

    [8] [8] Chen C H, Wang P S P, Maenpaa T. Texture Analysis with Local Binary Patterns [G]∥Handbook of Pattern Recognition and Computer Vision 3rd World Scientific, 2005: 197-216.

    [9] [9] Guo Z H, Zhang L, Zhang D. Rotation invariant texture classification using LBP variance (LBPV)with global matching [J]. Pattern Recognition, 2010, 43(3): 706-719.

    [10] [10] Acqua F D, Gamba P, FerrariA, et al. Exploiting spectral and spatial information in hyperspectral urban data with high resolution [J]. IEEE Transactions on Geoscience and Remote Sensing Letters, 2004, 1(4): 322-326.

    [12] [12] Foody G M, Mathur A. A relative evaluation of multiclass image classification by support vector machines [J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(6): 1335-1343.

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    HUANG Li-xian, SHEN Zhi-xue, LUO Yong-quan, ZHANG Da-yong. Classification Algorithm of High Spatial Resolution Imagery Based on Spectrum and Texture Features[J]. Electro-Optic Technology Application, 2014, 29(3): 34

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    Paper Information

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    Received: Apr. 10, 2014

    Accepted: --

    Published Online: Jul. 18, 2014

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    DOI:

    CSTR:32186.14.

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