论文信息 - Fusion non-supervisée d'images multi-bandes : application à l'imagerie forestière

Fusion non-supervisée d'images multi-bandes : application à l'imagerie forestière

This article proposes a new method of multiband images fusion applied to data Landsat TM of forest area. This algorithm, based on a unsupervised method, takes into account the contextual aspect in the application of Dempster/Shafer theory and sets up initialization and regularization processes adapted to remote sensing images.

Jean-Marc Boucher | Mickaël Germain | Yannick Allard | Goze Bertin Benie

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