@article {aSalembier,
	title = {Optimum Graph-Cuts for Pruning Binary Partition Trees of Polarimetric SAR images},
	journal = {IEEE Transactions on Geoscience and Remote Sensing},
	volume = {54},
	year = {2016},
	month = {05/2016},
	pages = {5493 {\textendash} 5502},
	abstract = {<p>This paper investigates several optimum graph-cuts techniques for pruning Binary Partition Trees (BPTs) and their usefulness for low-level processing of Polarimetric SAR (PolSAR) images. BPTs group pixels to form homogeneous regions, which are hierarchically structured by inclusion in a binary tree. They provide multiple resolutions of description and easy access to subsets of regions. Once constructed, BPTs can be used for a large number of applications. Many of these applications consist in populating the tree with a specific feature and in applying a graph-cut called pruning to extract a partition of the space. In this paper, different pruning examples involving the optimization of a global criterion are discussed and analyzed in the context of PolSAR images for segmentation. Through objective evaluation of the resulting partitions by means of Precision and Recall for boundaries curves, the best pruning technique is identified and the influence of the tree construction on the performances is assessed.\&nbsp;</p>},
	author = {Salembier, P. and S. Foucher}
}
@conference {cSalembier14,
	title = {Low-level processing of PolSAR images with binary partition trees},
	booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2014},
	year = {2014},
	month = {07/2014},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Quebec, Canada},
	abstract = {<p>This paper discusses the interest of Binary Partition Trees (BPTs) and the usefulness of graph cuts for low-level processing of PolSAR images. BPTs group pixels to form homogeneous regions, which are hierarchically structured by inclusion in a tree. They provide multiple resolutions of description and easy access to subsets of regions. Once constructed, BPTs can be used for many applications including filtering, segmentation, classification and object detection. Many processing strategies consist in populating the tree with a specific feature and in applying a graph-cut called pruning. Different graph-cuts are discussed and analyzed in the context of PolSAR images for speckle filtering and segmentation.</p>},
	author = {Salembier, P. and S. Foucher and L{\'o}pez-Mart{\'\i}nez, C.}
}
@article {aSalembier14,
	title = {Remote sensing image processing with graph cut of Binary Partition Trees},
	journal = {Advances in computing science, control and communications},
	volume = {69},
	year = {2014},
	month = {04/2014},
	pages = {185-196},
	issn = {1870-4069},
	author = {Salembier, P. and S. Foucher}
}
