[1]金永男,曹 国.基于多层马尔科夫随机场模型的变化检测[J].南京师范大学学报(工程技术版),2014,14(03):084.
　Jin Yongnan,Cao Guo.Change Detection Based on Multilayer Markov Random Field Model[J].Journal of Nanjing Normal University(Engineering and Technology),2014,14(03):084.
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基于多层马尔科夫随机场模型的变化检测
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南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
14卷
期数:
2014年03期
页码:
084
栏目:
出版日期:
2014-09-30

文章信息/Info

Title:
Change Detection Based on Multilayer Markov Random Field Model
作者:
金永男; 曹 国
南京理工大学计算机科学与工程学院,江苏 南京 210094
Author(s):
Jin Yongnan; Cao Guo
School of Computer Science and Engineering,Nanjing University of Science and Technology,Nanjing 210094,China
关键词:
变化检测; 图像分割; 马尔科夫随机场; 特征提取
Keywords:
change detection; image segmentation; Markov random field; feature selection
分类号:
TP391
文献标志码:
A
摘要:
提出了一种基于多层马尔科夫随机场模型的变化检测方法.首先输入的多个特征通过模拟退火方法得到对应每个特征的初步检测结果,然后利用多层马尔科夫随机场将初步检测结果进行融合.最后对图像进行目标级分割并与像素级变化检测结果相结合,根据各个目标的变化率给出了最终的变化检测.文章提出的方法运用多层马尔科夫随机场融合方法充分考虑了相邻像素间的相关性和各层之间的联系,并从目标角度进行了变化率的分析,使得融合结果更细致和精确.
Abstract:
This paper proposes a change detection method based on Multilayer Markov random field.First of all,we need get some detection result using features selected.Next,Multilayer Markov random field is applied to fuse detection result from previous steps.Since Markov random field fusion method takes full account of the correlation between the adjacent pixels and the links of different layer,the fusion results are more accurate and practical.

参考文献/References:

[1] Radke R J,Andra S,A-iKo F,et al.Image change detection algorithms:a system atic survey[J].IEEE Trans on Image Processing,2005,14(3):294-307.
[2]Dai X L,Khorram S.The effects of image misregistration on the accuracy of remotely sensed change detection[J].IEEE Trans on Geoscience and Remote Sensing,1998,36(5):1 566-1 577.
[3]Huo C L,Cheng J,Lu H Q,et al.Object-level change detection based on multiscale fusion[J].Acta Automatica Sinica,2008,34(3):251-257.
[4]Su J,Lin X G,Liu D Z.Change detection algorithm for remote sensing images based on object matching[J].Journal of Tsinghua University:Natural Science Edition,2007,47(10):1 610-1 613.
[5]Benedek C S,Szir’anyi T,Kato Z,et al.A multi-layer MRF model for object-motion detection in unregistered airborne image-pairs[C]//IEEE International Conference on Image Processing(ICIP).San Antonio,Texas,USA,2007:141-144.
[6]Li X C,Zhu S A.A survey of the Markov random field method for image segmentation[J].Journal of Image and Graphics,2007,12(5):789-798.
[7]Chen Y,Cao Z.An improved MRF-based change detection approach for multitemporal remote sensing imagery[J].Signal Processing,2013,93(1):163-175.
[8]Guo W,Zhu M M,Yang H B.A study on RCS recognition method of radar targets based on hidden Markov[J].Modern Radar,2013,35(3):37-40.
[9]Celik T.Change detection in satellite images using a genetic algorithm approach[J].IEEE Geoscience and Remote Sensing Letters,2010,7(2):386-390.
[10]Mao G G,Yu C,Qiao D W.A neighborhood based ratio approach for change detection in SAR images[J].IEEE Geosci Remote Sens Lett,2012,2(9):308-311.

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备注/Memo

备注/Memo:
收稿日期:2014-02-15.
基金项目:国家自然科学基金(61003108、61371168)、公安部应用创新计划(2013YYCXGASS097)、上海自然科学基金(13ZR1410400).
通讯联系人:金永男,硕士,研究方向:马尔科夫随机场变化检测.E-mail:kimyeongnam@hotmail.com
更新日期/Last Update: 2014-09-30