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dc.contributor.authorCalderero Patino, Felipe
dc.contributor.authorMarqués Acosta, Fernando
dc.contributor.authorMarcello, Javier
dc.contributor.authorEugenio, Francisco Javier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.identifier.citationCalderero, F. [et al.]. Hierarchical segmentation of vegetation areas in high spatial resolution images by fusion of multispectral information. A: IEEE International Geoscience and Remote Sensing Symposium. "2009 IEEE International Geoscience and Remote Sensing Symposium". 2009, p. 232-235.
dc.description.abstractA new region-based methodology for the automated extraction and hierarchical segmentation of vegetation areas into high spatial resolution images is proposed. This approach is based on the iterative and cooperative fusion of the independent segmentation results of equal or different resolution spectral bands, combined with an unsupervised classification into vegetation and novegetation regions. The result is a hierarchy of partitions with most relevant information at different levels of resolution of the vegetation areas. In addition, the high flexibility of the scheme allows different configurations depending on the final purpose. For instance, considering the size of the vegetation areas into the hierarchy, or prioritizing the information into the high resolution panchromatic band to improve the accuracy of both vegetation extraction and segmentation. This general tool for vegetation analysis is tested into high spatial resolution images from IKONOS and QuickBird satellites.
dc.format.extent4 p.
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshImaging systems in geophysics
dc.subject.lcshSignal theory (Telecommunication)
dc.subject.lcshVegetation mapping
dc.titleHierarchical segmentation of vegetation areas in high spatial resolution images by fusion of multispectral information
dc.typeConference report
dc.subject.lemacSenyal, Teoria del (Telecomunicació)
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
upcommons.citation.authorCalderero, F.; Marques, F.; Marcello, J.; Eugenio, F.
upcommons.citation.contributorIEEE International Geoscience and Remote Sensing Symposium
upcommons.citation.publicationName2009 IEEE International Geoscience and Remote Sensing Symposium
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