| 基于MRF模型和形态学运算的SAR图像分割 |
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| 引用本文： | 倪维平,严卫东,边辉,吴俊政,芦颖,王培忠.基于MRF模型和形态学运算的SAR图像分割[J].电光与控制,2011,18(1):32-36. |
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| 作者姓名： | 倪维平 严卫东 边辉 吴俊政 芦颖 王培忠 |
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| 作者单位： | 西北核技术研究所; |
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| 摘 要： | 针对目标监测分析中的SAR图像分割问题,构造了一种基于马尔可夫随机场(MRF)模型和形态学运算的处理方法.首先利用SAR图像邻域空间上的马尔可夫性以及像素灰度的高斯分布模型,以较少的迭代次数实现了SAR图像的初分割;然后通过形态学运算进行处理,抑制干扰性分割,同时填充目标区域内部空洞,改善分割效果.实验结果显示,该方法...
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| 关 键 词： | SAR图像分割 马尔可夫随机场模型 形态学运算 TerraSAR-X图像 MSTAR图像 |
SAR Image Segmentation Based on MRF Model and Morphological Operation |
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| NI Weiping,YAN Weidong,BIAN Hui,WU Junzheng,LU Ying,WANG Peizhong.SAR Image Segmentation Based on MRF Model and Morphological Operation[J].Electronics Optics & Control,2011,18(1):32-36. |
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| Authors: | NI Weiping YAN Weidong BIAN Hui WU Junzheng LU Ying WANG Peizhong |
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| Affiliation: | NI Weiping,YAN Weidong,BIAN Hui,WU Junzheng,LU Ying,WANG Peizhong(Northwest Institute of Nuclear Technology,Xi'an 710024,China) |
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| Abstract: | A combined method based on Markov Random Field(MRF) model and morphological operation was presented for the segmentation of the SAR image in target monitoring.Firstly,on the basis of the Markov characteristics in the neighboring region of the SAR image,and the Gaussian distribution model hypothesis of pixel gray-level,the pre-segmented image was gained with much fewer iterative times.And then,the morphological operation was used to restrain the interfering segmentations and to fill the holes in the target r... |
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| Keywords: | SAR image segmentation MRF model morphological operation TerraSAR-X image MSTAR image |
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