• Electronics Optics & Control
  • Vol. 26, Issue 11, 11 (2019)
PENG Chao and WEI Xueyun
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2019.11.003 Cite this Article
    PENG Chao, WEI Xueyun. Coastline Segmentation of SAR Image Based on Super-pixel Merging[J]. Electronics Optics & Control, 2019, 26(11): 11 Copy Citation Text show less
    References

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

    [12] HU X, TAO C V, PRENZEL B. Automatic segmentation of high-resolution satellite imagery by integrating texture, intensity, and color features[J]. Photogrammetric Engineering & Remote Sensing, 2015, 71(12): 1399-1406.

    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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