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[期刊论文]

Remote sensing image variation detection on multi-scale MRF fusion

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author:

Chen, Z.-H. (Chen, Z.-H..) [1] | Wang, W.-X. (Wang, W.-X..) [2] | Yu, T.-C. (Yu, T.-C..) [3] | Unfold

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Scopus PKU CSCD

Abstract:

In order to increase image registration accuracy in change detection, from the view of multi-scale fusion, a method was proposed for region variation detection, which applied the multi-scale analysis to remote sensing image. First of all, Wavelet transform was adopted to decompose original images, then Mahalanobis distance decision function was used to detect the changes of different scale images, and finally Markov random field was applied to fuse different scale change detection results. Since Markov random field fusion method took full account of the correlation between the adjacent pixels and the links of different scale change detection results, the fusion results were more accurate and practical. The testing results showed that this method is effective and robust.

Keyword:

Change detection; Image fusion; Mahalanobis distance; Markov random field; Multi-scale

Community:

  • [ 1 ] [Chen, Z.-H.]College of Physics and Info. Eng., Fuzhou Univ., Fuzhou 350108, China
  • [ 2 ] [Wang, W.-X.]College of Physics and Info. Eng., Fuzhou Univ., Fuzhou 350108, China
  • [ 3 ] [Yu, T.-C.]China Flight Test Establishment, Xi'an 710089, China
  • [ 4 ] [Lin, L.-Q.]College of Physics and Info. Eng., Fuzhou Univ., Fuzhou 350108, China

Reprint 's Address:

  • [Chen, Z.-H.]College of Physics and Info. Eng., Fuzhou Univ., Fuzhou 350108, China

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Source :

Journal of Sichuan University (Engineering Science Edition)

ISSN: 1009-3087

Year: 2011

Issue: 3

Volume: 43

Page: 104-108

Cited Count:

WoS CC Cited Count:

30 Days PV: 0

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