Supervised change detection in VHR images using contextual information and support vector machines

@article{Volpi2013SupervisedCD,
  title={Supervised change detection in VHR images using contextual information and support vector machines},
  author={Michele Volpi and Devis Tuia and Francesca Bovolo and Mikhail F. Kanevski and Lorenzo Bruzzone},
  journal={Int. J. Applied Earth Observation and Geoinformation},
  year={2013},
  volume={20},
  pages={77-85}
}
In this paper we study an effective solution to deal with supervised change detection in very high geometrical resolution (VHR) images. High within-class variance as well as low between-class variance that characterize this kind of imagery make the detection and classification of ground cover transitions a 
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