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浙江大学学报(工学版)
J4  2012, Vol. 46 Issue (10): 1810-1815    DOI: 10.3785/j.issn.1008-973X.2012.10.012
计算机技术﹑电信技术     
马尔可夫随机场SAR图像分割的快速实现技术
李光廷1,2, 禹卫东1
1. 中国科学院 电子学研究所,航天微波遥感系统部,北京 100190；2. 中国科学院 研究生院,北京 100049
Fast implementation of SAR image segmentation using
Markov random fields
LI Guang-ting1, 2, YU Wei-dong1
1. Department of Space Microwave Remote Sensing System, Institute of Electronics, Chinese Academy of Sciences,
Beijing 100190, China; 2. Graduate University of the Chinese Academy of Sciences, Beijing 100049, China
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摘要：

针对用马尔可夫随机场(MRF)进行合成孔径雷达(SAR)图像分割的传统实现方式计算效率低的问题,提出以图像整体为操作对象并与标记图的边缘检测相结合的MRF图像分割快速实现方法.分析只针对标记图边缘像素进行处理带来错误分割的概率,将提出方法应用到扩散MRF分割中.理论分析及实验表明：与原实现方式相比,提出算法大大提高了单次迭代的速度,并可应用到一些先进的MRF分割算法中.
Abstract:

A new image segmentation flow using Markov random fields (MRF) was proposed in order to solve the problem of the low computation efficiency with the general synthetic aperture radar (SAR) image segmentation using MRF. The method takes all the edge pixels of marking map in the whole image as operation objects. The false segmentation probability caused by only processing the edges of marking map was analyzed, and the application of proposed flow in diffusion MRF was also discussed. The analysis and experimental results of MSTAR image segmentation show that the method can greatly shorten the calculation time of the general implementation without loss of segmentation precision, and can obtain better segmentation results by combining with other advanced techniques.
出版日期: 2012-10-01
:  TN 957.5  
通讯作者: 禹卫东,男,研究员,博导.     E-mail: ywdsar@yahoo.com.cn
作者简介: 李光廷(1983—),男,博士生,从事SAR图像分类与识别的研究.E-mail: li_gt@yahoo.cn
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引用本文:

李光廷, 禹卫东. 马尔可夫随机场SAR图像分割的快速实现技术[J]. J4, 2012, 46(10): 1810-1815.

LI Guang-ting, YU Wei-dong. Fast implementation of SAR image segmentation using
Markov random fields. J4, 2012, 46(10): 1810-1815.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2012.10.012    或    http://www.zjujournals.com/eng/CN/Y2012/V46/I10/1810

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