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

Maria Kulikova 1 Ian Jermyn 1 Xavier Descombes 2 Elena Zhizhina 3 Josiane Zerubia 1
1 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , SIS - Signal, Images et Systèmes
2 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, SIS - Signal, Images et Systèmes
Abstract : 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.
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Article dans une revue
International Journal of Computer Vision and Image Processing, 2011, 1 (2), pp.1-12. 〈10.4018/ijcvip.2011040101〉
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https://hal.archives-ouvertes.fr/hal-00804118
Contributeur : Maria Kulikova <>
Soumis le : lundi 25 mars 2013 - 03:06:03
Dernière modification le : lundi 25 mars 2013 - 03:06:03

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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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