@string{icpr="Proceedings of International Conference on Pattern Recognition"}
@INPROCEEDINGS{Singh-etal2014,
  author =	 {Praveer Singh and Zoltan Kato and Josiane Zerubia},
  title =	 {A Multilayer {M}arkovian Model for Change Detection
                  in Aerial Image Pairs with Large Time Differences},
  booktitle =	 icpr,
  year =	 2014,
  address =	 {Stockholm, Sweden},
  month =	 aug,
  organization = {IAPR},
  publisher =	 {IEEE},
  pages =	 {924-929},
  abstract =	 {In this paper, we propose a Multilayer Markovian
                  model for change detection in registered aerial
                  image pairs with large time differences. A Three
                  Layer Markov Random Field takes into account
                  information from two different sets of features
                  namely the Modified HOG (Histogram of Oriented
                  Gradients) difference and the Gray-Level (GL)
                  Difference. The third layer is the resultant
                  combination of the two layers. Thus we integrate
                  both the texture level as well as the pixel level
                  information to generate the final result. The
                  proposed model uses pair wise interaction retaining
                  the sub-modularity condition for energy. Hence a
                  global energy optimization can be achieved using a
                  standard min-cut/ max flow algorithm ensuring
                  homogeneity in the connected regions.},
}