Acta Optica Sinica, Volume. 33, Issue 8, 811004(2013)

Efficient Segmentation of SAR Images Using Markov Random Field Models with Edge Penalties and an Adaptive Weighting Parameter

He Feiyue1,2、*, Tian Zheng1,3, Fu Huijing1, and Yan Weidong1
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(20)

    [1] [1] L Arantzazu, A Jesus, A Lourdes, et al.. Backscattering behavior of rain-fed crops along the growing season [J]. IEEE Geo Remote Sens Lett, 2013, 10(2): 386-390.

    [2] [2] B Nicolas, D F Pascale, D Xavier, et al.. Sensitivity of main polarimetric parameters of multifrequency polarimetric SAR data to soil moisture and surface roughness over bare agricultural soils [J]. IEEE Geo Remote Sens Lett, 2013, 10(4): 731-735.

    [3] [3] P. Gamba, M. Aldrighi. SAR data classification of urban areas by means of segmentation techniques and ancillary optical data [J]. IEEE J Sel Top Appl Earth Observation Remote Sens, 2012, 5(4): 1140-1148.

    [4] [4] A. Likas, N. Vlassis, J. J. Verbeek. The global k-means clustering algorithm [J]. Pattern Recognit, 2003, 36(2): 451-461.

    [6] [6] Guo Yajing, Tang Shunxing, Ji Lailin, et al.. Experimental study of multiple wavelength laser-induced damage in SiO2 based on near field and image segmentation [J]. Acta Optica Sinica, 2013, 33(1): 0114001.

    [8] [8] Gao Xiaoliang, Wang Zhiliang, Liu Jiwei, et al.. Variable domain algorithm for image segmentation using statistical models based on intensity features [J]. Acta Optica Sinica, 2011, 31(1): 0115003.

    [9] [9] Zuo Zhiquan, Zhang Zuxun, Zhang Jianqing. Classification of lidar point clouds for urban area based on multi-echo region ratio and recognition topology model [J]. Chinese J Lasers, 2012, 39(4): 0414001.

    [11] [11] H W Deng, D A Clausi. Unsupervised image segmentation using a simple MRF model with a new implementation scheme [J]. Pattern Recognit, 2004, 37(12): 2323-2335.

    [12] [12] H W Deng, D A Clausi. Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field model [J]. IEEE Trans Geosci Remote Sens, 2005, 43(3): 528-538.

    [13] [13] Xiaogang Lei, Ying Li, Na Zhao. Fast segmentation approach for SAR image based on simple Markov random field [J]. J Systems Engineering and Electronics, 2010, 21(1): 31-36.

    [14] [14] Yan Wu, Ming Li, Peng Zhang, et al.. Unsupervised multi-class segmentation of SAR image using triplet Markov fields models based on edge penalty [J]. Pattern Recognit Lett, 2011, 32(11): 1532-1540.

    [15] [15] Q Y Yu, D A Clausi. IRGS: image segmentation using edge penalties and region growing [J]. IEEE Trans Pattern Anal Mach Intell, 2008, 30(12): 2126-2139.

    [16] [16] P Yu, A K Qin, D A Clausi. Unsupervised polarimetric SAR image segmentation and classification using region growing with edge penalty [J]. IEEE Trans Geosci Remote Sens, 2012, 50(4): 1302-1317.

    [17] [17] S Z Li. Markov Random Field Modeling in Image Analysis (3rd edition) [M]. New York: Springer-Verlag, 2009.

    [18] [18] H C Li, W Hong, Y R Wu, et al.. On the empirical-statistical modeling of SAR images with generalized Gamma distribution [J]. IEEE J Sel Top Signal Process, 2011, 5(3): 386-397.

    [19] [19] D Martin, C Fowlkes, J Malik. Learning to detect natural image boundaries using local brightness, color and texture cues [J]. IEEE Trans Pattern Anal Mach Intell, 2004, 26(1): 1-20.

    [20] [20] R Caves, S Quegan, R White. Quantitative comparison of the performance of SAR segmentation algorithms [J]. IEEE Trans Image Process, 1998, 7(11): 1534-1546.

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    He Feiyue, Tian Zheng, Fu Huijing, Yan Weidong. Efficient Segmentation of SAR Images Using Markov Random Field Models with Edge Penalties and an Adaptive Weighting Parameter[J]. Acta Optica Sinica, 2013, 33(8): 811004

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    Paper Information

    Category: Imaging Systems

    Received: Feb. 7, 2013

    Accepted: --

    Published Online: Jul. 9, 2013

    The Author Email: Feiyue He (feiyue126@126.com)

    DOI:10.3788/aos201333.0811004

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