Change Detection Based on Conditional Random Field With Region Connection Constraints in High-Resolution Remote Sensing Images

@article{Zhou2016ChangeDB,
  title={Change Detection Based on Conditional Random Field With Region Connection Constraints in High-Resolution Remote Sensing Images},
  author={L. Zhou and Guo Cao and Yupeng Li and Yanfeng Shang},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year={2016},
  volume={9},
  pages={3478-3488}
}
In this paper, a novel change detection method based on conditional random field (CRF) with region connection constraints in multitemporal high-resolution remote sensing images is proposed. The change detection problem is formulated as a labeling issue to discriminate the changed class from the unchanged class in the difference image. In the CRF model, the unary potential is described by using the memberships of unsupervised fuzzy C-means clustering algorithm. The pairwise potential adopts a… CONTINUE READING
4 Extracted Citations
32 Extracted References
Similar Papers

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 32 references

A multiscale object-specific approach to digital change detection

  • O. Hall, G. J. Hay
  • Int. J. Appl. Earth Observ. Geoinf., vol. 4, no…
  • 2003
Highly Influential
15 Excerpts

Change detection in synthetic aperture radar images based on non-local means with ratio similarity measurement

  • L. Su, M. Gong, B. Sun
  • Int. J. Remote Sens., vol. 35, no. 22, pp. 7673…
  • 2014
1 Excerpt

Similar Papers

Loading similar papers…