期刊文献+

基于MRF信息融合的多通道SAR图像变化检测算法 被引量:4

Change detection from multichannel SAR image by MRF information fusion
原文传递
导出
摘要 SAR图像变化检测是近几年SAR图像应用研究的新领域,现有的SAR图像变化检测算法大多针对单通道图像数据,而利用多通道SAR图像数据进行变化检测,可以充分利用图像信息,能够得到更好的检测效果。论文研究了基于MRF信息融合的多通道SAR图像变化检测算法,通过融合图像不同通道信息,实现变化检测;并重点论述了算法的基本原理和算法实现过程,通过实验对比,证明了论文提出的算法可以得到较高的检测精度。 SAR image change detection is a new field to research on the application of SAR images, which has been used in many ways successfldly, such as national economy and national defence. At present, the algorithms of SAR image change detection almost focus on singlechannel SAR image. While when muhichannels data is applied in change detection, the image information could be fully utilized, and more perfect detection result could be got. In this paper, the algorithm of change detection from muhichannel SAR image by MRF information fusion was proposed. The change detection was carried out by fusing different channels information of image. The algorithm could not only apply to the spatial reliant relationship among pixels, but fuse the different information from muhichannels. The basic principle and implementation procedure were focused on. In the end, the experimental comparison showed that the algorithm proposed in this paper could receive change detection result with very high precision.
出处 《测绘科学》 CSCD 北大核心 2012年第5期113-115,共3页 Science of Surveying and Mapping
基金 国家"863"项目"高效能机载SAR系统减灾救灾应用示范"(2007AA120306-03)
关键词 MRF 多通道 SAR图像数据 信息融合 变化检测 MRF multichannel SAR image information fusion change detection
  • 相关文献

参考文献12

  • 1White R G. Change detection in SAR imagery [J]. Remote Sense, 1991,12:339-360.
  • 2孙即祥.数字图像处理[M].石家庄:河北教育出版社,1993..
  • 3张澄波.综合孔径雷达[M].北京:科学出版社,1989..
  • 4C J Oliver, S Quegan. Understanding SAR Image [ M ]. New York : Artech House, 1998.
  • 5R C Dubes, A K Jain. Random field models in image analysis [ J ]. Appl. Sta. , 1989,16 ( 2 ) : 131 - 163.
  • 6L Bbruzzone, D Fernandezp rieto. An adaptive parcel based technique for unsupervised change detection [ J ]. International Journal of Remote Sensing,2002,21 (4).
  • 7Besag J. Spatial interaction and the statistical analysis of lattice systems [ J ]. Journal of the Royal Statistical Society, 1974,36 : 192-236.
  • 8Besag J. Statistical analysis of non-lattice data [ J ]. The Statistician, 1975,24 ( 3 ) : 179-195.
  • 9Moussoures J. Gibbs and Markov systems with constraints [ J ]. Journal of statistical physics, 1974,10 : 11-33.
  • 10Dempster A P, N M Laird, D B Bubin. Maximum likelihood from incomplete data via EM algorithm [ J ]. Journal of the Royal Statistical Society, 1977,39 : 1-38.

共引文献61

同被引文献76

引证文献4

二级引证文献8

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部