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Article Dans Une Revue International Journal of Computer Vision and Image Processing Année : 2011

A Marked Point Process Model Including Strong Prior Shape Information Applied to Multiple Object Extraction From Images.

Maria Kulikova
  • Fonction : Auteur
  • PersonId : 865022
Ian Jermyn
Xavier Descombes
Elena Zhizhina
  • Fonction : Auteur
  • PersonId : 838447
Josiane Zerubia
  • Fonction : Auteur
  • PersonId : 833424

Résumé

Object extraction from images is one of the most important tasks in remote sensing image analysis. For accurate extraction from very high resolution (VHR) images, object geometry needs to be taken into account. A method for incorporating strong yet flexible prior shape information into a marked point process model for the extraction of multiple objects of complex shape is presented. To control the computational complexity, the objects considered are defined using the image data and the prior shape information. To estimate the optimal configuration of objects, the process is sampled using a Markov chain based on a stochastic birth-and-death process on the space of multiple objects. The authors present several experimental results on the extraction of tree crowns from VHR aerial images.

Dates et versions

hal-00804118 , version 1 (25-03-2013)

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Citer

Maria Kulikova, Ian Jermyn, Xavier Descombes, Elena Zhizhina, Josiane Zerubia. A Marked Point Process Model Including Strong Prior Shape Information Applied to Multiple Object Extraction From Images.. International Journal of Computer Vision and Image Processing, 2011, 1 (2), pp.1-12. ⟨10.4018/ijcvip.2011040101⟩. ⟨hal-00804118⟩
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