A Spatio-spectral Data Fusion Method for the Detection of Urban Areas in optical High Resolution Images by a Novel MRF Model

@article{Causa2006ASD,
  title={A Spatio-spectral Data Fusion Method for the Detection of Urban Areas in optical High Resolution Images by a Novel MRF Model},
  author={Federico Causa and Sebastiano B. Serpico and S. Serpico},
  journal={2006 IEEE International Symposium on Geoscience and Remote Sensing},
  year={2006},
  pages={2502-2505}
}
In this paper, a novel Markov Random Field (MRF) model is proposed for the classification of high spatial resolution data. The key idea is that each thematic class can be described by a set of clusters, which represent spectral subclasses related to material responses. Accordingly, the proposed MRF model describes the contextual information by using the relationship between the (user-defined) thematic classes and the clusters extracted by a clustering procedure. This approach permits one to… CONTINUE READING