WEAKENED WATERSHED ASSEMBLY FOR REMOTE SENSING IMAGE SEGMENTATION AND CHANGE DETECTION

Olivier Debeir, Hussein Atoui, Christophe Simler, Nadine Warzée, Eléonore Wolff

2009

Abstract

Marked watershed transform can be seen as a classification in which connected pixels are grouped into components included into the marks catchment basins.The weakened classifier assembly paradigm has shown its ability to give better results than its best member, while generalization and robustness to the noise present in the dataset is increased. We promote in this paper the use of the weakened watershed assembly for remote sensed image segmentation followed by a consensus (vote) of the segmentation results. This approach allows to, but is not restricted to, introduce previously existing borders (e.g. for the map update) in order to constraint the segmentation. We show how the method parameters influence the resulting segmentation and what are the choices the practitioner can make with respect to his problem. A validation of the obtained segmentation is done by comparing with a manual segmentation of the image.

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Paper Citation


in Harvard Style

Debeir O., Atoui H., Simler C., Warzée N. and Wolff E. (2009). WEAKENED WATERSHED ASSEMBLY FOR REMOTE SENSING IMAGE SEGMENTATION AND CHANGE DETECTION . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 129-134. DOI: 10.5220/0001755501290134

in Bibtex Style

@conference{visapp09,
author={Olivier Debeir and Hussein Atoui and Christophe Simler and Nadine Warzée and Eléonore Wolff},
title={WEAKENED WATERSHED ASSEMBLY FOR REMOTE SENSING IMAGE SEGMENTATION AND CHANGE DETECTION},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={129-134},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001755501290134},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)
TI - WEAKENED WATERSHED ASSEMBLY FOR REMOTE SENSING IMAGE SEGMENTATION AND CHANGE DETECTION
SN - 978-989-8111-69-2
AU - Debeir O.
AU - Atoui H.
AU - Simler C.
AU - Warzée N.
AU - Wolff E.
PY - 2009
SP - 129
EP - 134
DO - 10.5220/0001755501290134