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Change Detection Based on Multilayer Markov Random Field Model(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2014年03期
Page:
84-
Research Field:
Publishing date:

Info

Title:
Change Detection Based on Multilayer Markov Random Field Model
Author(s):
Jin Yongnan; Cao Guo
School of Computer Science and Engineering,Nanjing University of Science and Technology,Nanjing 210094,China
Keywords:
change detection; image segmentation; Markov random field; feature selection
PACS:
TP391
DOI:
-
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.

References:

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Memo

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Last Update: 2014-09-30