Electronics Optics & Control, Volume. 26, Issue 11, 11(2019)

Coastline Segmentation of SAR Image Based on Super-pixel Merging

PENG Chao and WEI Xueyun
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    References(8)

    [1] [1] DUAN Y, LIU F, JIAO L, et al. Adaptive hierarchical multinomial latent model with hybrid kernel function for SAR image semantic segmentation[J]. IEEE Transactions on Geoscience & Remote Sensing, 2018, 56(1): 5997-6015.

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    [4] [4] ZHANG Y, LI X, GAO X, et al.A simple algorithm of superpixel segmentation with boundary constraint[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2017, 27(7): 1502-1514.

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    [9] [9] QIN F, GUO J, LANG F. Superpixel segmentation for polarimetric SAR imagery using local iterative clustering[J]. IEEE Geoscience & Remote Sensing Letters, 2017, 12(1): 13-17.

    [10] [10] WANG A P, WANG S G, LUCIEER A. Segmentation of multispectral high-resolution satellite imagery based on integrated feature distributions[J]. International Journal of Remote Sensing, 2010, 31(6): 1471-1483.

    [11] [11] OJALA T, PIETIKAINEN M. Unsupervised texture segmentation using feature distributions[J]. Pattern Recognition, 1997, 32(3): 477-486.

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    PENG Chao, WEI Xueyun. Coastline Segmentation of SAR Image Based on Super-pixel Merging[J]. Electronics Optics & Control, 2019, 26(11): 11

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    Paper Information

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    Received: Dec. 11, 2018

    Accepted: --

    Published Online: Dec. 15, 2020

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2019.11.003

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