张斌, 马国锐, 刘国英, 秦前清. 一种结合Freeman分解和散射熵的MRF多极化SAR影像分割算法[J]. 武汉大学学报 ( 信息科学版), 2011, 36(9): 1064-1067.
引用本文: 张斌, 马国锐, 刘国英, 秦前清. 一种结合Freeman分解和散射熵的MRF多极化SAR影像分割算法[J]. 武汉大学学报 ( 信息科学版), 2011, 36(9): 1064-1067.
ZHANG Bin, MA Guorui, LIU Guoying, QIN Qianqing. MRF-Based Segmentation Algorithm Combined with Freeman Decomposition and Scattering Entropy for Polarimetric SAR Images[J]. Geomatics and Information Science of Wuhan University, 2011, 36(9): 1064-1067.
Citation: ZHANG Bin, MA Guorui, LIU Guoying, QIN Qianqing. MRF-Based Segmentation Algorithm Combined with Freeman Decomposition and Scattering Entropy for Polarimetric SAR Images[J]. Geomatics and Information Science of Wuhan University, 2011, 36(9): 1064-1067.

一种结合Freeman分解和散射熵的MRF多极化SAR影像分割算法

MRF-Based Segmentation Algorithm Combined with Freeman Decomposition and Scattering Entropy for Polarimetric SAR Images

  • 摘要: 针对多极化SAR图像,采用Freeman分解理论,将其分为表面散射、偶次散射、体散射、混合散射4种散射机制,并通过H/Alpha分解提取散射熵,将地物初始分为12类,并运用聚合的层次聚类算法对初始分类结果进行合并。利用Wishart分布对特征场进行建模,用模拟退火优化方法求取基于最大后验准则下的分割结果。

     

    Abstract: A new segmentation algorithm is proposed for polarimetric SAR images based on Markov random field combined with Freeman decomposition and scattering entropy.Firstly,Freeman decomposition theory is adopted to obtain four kinds of scattering characteristics,which are surface scattering,double scattering,volume scattering and mixed scattering,and scattering entropy is exacted by H/Alpha decomposition.Then,the terrain can be divided into 12 initial clusters.Secondly,an agglomerative hierarchical clustering algorithm is introduced to reduce the number of clusters.Finally,by adopting Wishart distribution to model the character field,simulated annealing model method(SA) based on maximum a posteriori criterion is used to acquire the segmentation results.Using fully polarimetric SAR images acquired by the NASA/ JPL and E-SAR,the experimental results show the effectiveness and superiority of this algorithm.

     

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