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dc.contributor.authorValero Valbuena, Silvia
dc.contributor.authorSalembier Clairon, Philippe Jean
dc.contributor.authorChanussot, Jocelyn
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2011-01-13T11:10:57Z
dc.date.available2011-01-13T11:10:57Z
dc.date.created2010
dc.date.issued2010
dc.identifier.citationValero, S.; Salembier, P.; Chanussot, J. New hyperspectral data representation using binary partition tree. A: IEEE International Geoscience and Remote Sensing Symposium. "2010 IEEE International Geoscience and Remote Sensing Symposium". Honolulu: 2010, p. 80-83.
dc.identifier.isbn978-1-4244-9564-1
dc.identifier.urihttp://hdl.handle.net/2117/11005
dc.description.abstractThe optimal exploitation of the information provided by hyperspectral images requires the development of advanced image processing tools. This paper introduces a new hierarchical structure representation for such images using binary partition trees (BPT). Based on region merging techniques using statistical measures, this region-based representation reduces the number of elementary primitives and allows a more robust filtering, segmentation, classification or information retrieval. To demonstrate BPT capabilites, we first discuss the construction of BPT in the specific framework of hyperspectral data. We then propose a pruning strategy in order to perform a classification. Labelling each BPT node with SVM classifiers outputs, a pruning decision based on an impurity measure is addressed. Experimental results on two different hyperspectral data sets have demonstrated the good performances of a BPT-based representation
dc.format.extent4 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshBinary Partition Tree
dc.subject.lcshSupport vector machines
dc.subject.lcshImage processing
dc.subject.lcshSignal theory (Telecommunication)
dc.titleNew hyperspectral data representation using binary partition tree
dc.typeConference report
dc.subject.lemacSenyal, Teoria del (Telecomunicació)
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.identifier.doi10.1109/IGARSS.2010.5649780
dc.description.awardwinningAward-winning
dc.rights.accessOpen Access
local.identifier.drac4498261
dc.description.versionPostprint (published version)
local.citation.authorValero, S.; Salembier, P.; Chanussot, J.
local.citation.contributorIEEE International Geoscience and Remote Sensing Symposium
local.citation.pubplaceHonolulu
local.citation.publicationName2010 IEEE International Geoscience and Remote Sensing Symposium
local.citation.startingPage80
local.citation.endingPage83


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