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Communication Dans Un Congrès Année : 2012

Matching of multi-resolution image for remote sensing glacier detection

Résumé

Multi-resolution images provide a rich source of information but the combination of the data still difficult due to their different characteristics. In this paper, a fusion approach of multi-source data is presented. A common space for information representation is generated by selecting points of interest that are then connected through a Delaunay triangulation. The obtained topology allows the classification of the landforms based on all the available attributes. The approach is illustrated on glacier detection in Alps mountains.
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Dates et versions

hal-00725164 , version 1 (24-08-2012)

Identifiants

  • HAL Id : hal-00725164 , version 1

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Ahmed Guermazi, Lionel Valet, Philippe Bolon. Matching of multi-resolution image for remote sensing glacier detection. 21st International Conference on Pattern Recognition, Nov 2012, Tsukuba, Japan. 5 p. ⟨hal-00725164⟩
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