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The work presented here proposes a new Binary Partition Tree pruning strategy aimed at the segmentation of hyperspectral images. The BPT is a region-based representation of images that involves a reduced number of elementary primitives and therefore allows to design a robust and efficient segmentation algorithm. Here, the regions contained in the BPT branches are studied by recursive spectral graph partitioning. The goal is to remove subtrees composed of nodes which are considered to bedoi:10.1109/icip.2011.6115666 dblp:conf/icip/ValeroSC11 fatcat:rpph36mbk5grlds6bvionrupsq