Low-level processing of PolSAR images with binary partition trees

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/26233

dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.contributor	Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.contributor.author	Salembier Clairon, Philippe Jean
dc.contributor.author	Foucher, Samuel
dc.contributor.author	López Martínez, Carlos
dc.date	2014
dc.identifier.citation	Salembier, P.; Foucher, S.; Lopez, C. Low-level processing of PolSAR images with binary partition trees. A: IEEE International Geoscience and Remote Sensing Symposium. "2014 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 13–18, 2014, Québec City, Québec, Canada". Québec: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 1025-1028.
dc.identifier.citation	978-1-4799-5775-0
dc.identifier.citation	10.1109/IGARSS.2014.6946602
dc.identifier.uri	http://hdl.handle.net/2117/26233
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subject	Remote sensing
dc.subject	Image processing
dc.subject	Binary Partition Tree
dc.subject	graph-cut
dc.subject	PolSAR
dc.subject	segmentation
dc.subject	speckle noise
dc.subject	Teledetecció
dc.subject	Imatges -- Processament
dc.title	Low-level processing of PolSAR images with binary partition trees
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	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.

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