Optics and Precision Engineering, Volume. 22, Issue 10, 2832(2014)

Change detection of SAR images using morphologic attribute profile and support vector machine

ZHANG Xiong-mei1,*... YI Zhao-xiang1, TIAN Song1,2 and SONG Jian-she1 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(15)

    [1] [1] PAUL L, RAMAMOORTHY D P. Synthetic aperture radar image change detection using fuzzy C-means clustering algorithm[J]. International Journal of Advanced Research in Computer and Communication Engineering, 2013, 2(3): 1374-1379.

    [2] [2] MEGHANA P M K, RAVIKUMAR A V. Robust technique for change detection in multitemporal synthetic aperture radar images[J]. International Journal of Scientific & Engineering Research, 2013, 4(7): 2228-2235.

    [3] [3] MAS J F. Monitoring land-cover changes: a comparison of change detection techniques [J]. International Journal of Remote Sensing, 1999, 20(1): 139-152.

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    [7] [7] HU ZH L. An unsupervised change detection approach based on KI dual thresholds under the generalized Gauss model assumption in SAR images[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(1): 116-122. (in Chinese)

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    [11] [11] BAZI Y, BRUZZONE L, MELGANI F. An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images [J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(4): 874-887.

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    ZHANG Xiong-mei, YI Zhao-xiang, TIAN Song, SONG Jian-she. Change detection of SAR images using morphologic attribute profile and support vector machine[J]. Optics and Precision Engineering, 2014, 22(10): 2832

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    Paper Information

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    Received: Mar. 13, 2014

    Accepted: --

    Published Online: Nov. 6, 2014

    The Author Email: Xiong-mei ZHANG (zxw.ok@163.com)

    DOI:10.3788/ope.20142210.2832

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