| 一种新的MSTAR SAR图像分割方法 |
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| 引用本文： | 林达, 徐新, 潘雪峰, 张海涛. 一种新的MSTAR SAR图像分割方法[J]. 武汉大学学报 ( 信息科学版), 2014, 39(11): 1314-1317. |
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| 作者姓名： | 林达 徐新 潘雪峰 张海涛 |
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| 作者单位： | 1武汉大学电子信息学院湖北 武汉 430072 |
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| 基金项目： | 国家973计划资助项目(2013CB733404)~~ |
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| 摘 要： | 提出了一种新的MSTAR SAR图像分割方法。该方法首先根据地物的散射机制进行属性散射中心(attributed scattering centers,ASC)特征提取，构造属性散射中心特征向量;然后使用马尔科夫随机场(Mark-ov random ficld,MRF)结合属性散射中心特征对MS
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| 关 键 词： | MSTAR SAR图像分割 属性散射中心特征提取 马尔科夫随机场 能量优化 |
| 收稿时间： | 2013-06-19 |
Segmentation of SAR Image of MSTAR SAR Chips Based on Attributed Scattering Center Feature and Markov Random Field |
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| Lin Da, Xu Xin, Pan Xuefeng, Zhang Haitao. Segmentation of SAR Image of MSTAR SAR Chips Based on Attributed Scattering Center Feature and Markov Random Field[J]. Geomatics and Information Science of Wuhan University, 2014, 39(11): 1314-1317. |
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| Authors: | Lin Da Xu Xin Pan Xuefeng Zhang Haitao |
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| Affiliation: | 1School of Electronic Information Wuhan University Wuhan 430072 China |
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| Abstract: | A novel segmentation method is proposed for MSTAR SAR target chips. First，feature extraction is implemented to acquire the attributed scattering center(ASC) feature vectors based on scattering characteristics. Then， a Markov random field(MRF) with the attributed scattering center feature is used to describ the spatial contextual information of different segments in the SAR image ofMSTAR SAR chips. The final segmentation result is obtained by combining an optimized algorithm oflabel costs. Experimental results validate the effectiveness of this improved algorithm. |
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| Keywords: | MSTAR SAR image segmentation feature extraction of attributed scattering center Markov random field(MRF) energy optimization |
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