Chinese Journal of Quantum Electronics, Volume. 33, Issue 4, 420(2016)

High resolution remote sensing image classification based on multi-scale and multi-feature fusion

Suting CHEN1,2、* and Hui WANG1,2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(7)

    [1] [1] Jeferson A D S, Philippe-Henri G, et al. Interactive multiscale classification of high-resolution remote sensing images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, (4): 2020-2033.

    [4] [4] Yong A, Guo J H. A new algorithm for object-oriented multi-scale high resolution remote sensing image segmentation[C]. International Congress on Image and Signal Processing, 2011, 3: 1596-1599.

    [5] [5] Xie S K, Lawinzak A T, et al. Feature extraction by multi-scale principal component analysis and classification in spectral domain[J]. Engineering, 2013, 5(10): 268-271.

    [6] [6] Grauman K, Darrell T. Pyramid match kernels: Discriminative classification with sets of images features[C]. International Conference on Computer Vision, 2005: 1458-1465.

    [7] [7] Feng X, Qin K, et al. Multi-scale description and recognition of target shape in high-resolution remote sensing images[J]. Journal of Remote Sensing, 2014, 18(1): 90-96.

    [8] [8] Zhang J S. A survey of selective ensemble learning algorithms[J]. Chinese Journal of Computers, 2011, 34(8): 1399-1410.

    [10] [10] Meyer F G, Coifman R. Brushlets: A tool for directional image analysis and image compression[J]. Applied and Computational Harmonic Analysis, 2000, 4(2): 147-187.

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    CHEN Suting, WANG Hui. High resolution remote sensing image classification based on multi-scale and multi-feature fusion[J]. Chinese Journal of Quantum Electronics, 2016, 33(4): 420

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    Paper Information

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    Received: Apr. 23, 2015

    Accepted: --

    Published Online: Oct. 24, 2016

    The Author Email: Suting CHEN (sutingchen@nuist.edu.cn)

    DOI:10.3969/j.issn.1007-5461. 2016.04.006

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