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Hierarchical analysis of remote sensing data: morphological attribute profiles and binary partition trees
dc.contributor.author | Benediktsson, Joan A |
dc.contributor.author | Bruzzone, Lorenzo |
dc.contributor.author | Chanussot, Jocelyn |
dc.contributor.author | Dalla Mura, Mauro |
dc.contributor.author | Salembier Clairon, Philippe Jean |
dc.contributor.author | Valero, Silvia |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2012-01-17T19:34:27Z |
dc.date.available | 2012-01-17T19:34:27Z |
dc.date.created | 2012 |
dc.date.issued | 2012 |
dc.identifier.citation | Benediktsson, J. [et al.]. Hierarchical analysis of remote sensing data: morphological attribute profiles and binary partition trees. A: International Symposium on Mathematical Morphology. "Mathematical Morphology and Its Applications to Image and Signal Processing". Verbania-Intra: Springer Verlag, 2012, p. 306-319. |
dc.identifier.isbn | 3642215688 |
dc.identifier.uri | http://hdl.handle.net/2117/14624 |
dc.description.abstract | The new generation of very high resolution sensors in airborne or satellite remote sensing open the door to countless new applications with a high societal impact. In order to bridge the gap between the potential offered by these new sensors and the needs of the end-users to actually face tomorrows challenges, advanced image processing methods need to be designed. In this paper we discuss two of the most promising strategies aiming at a hierarchical description and analysis of remote sensing data, namely the Extended Attribute Profiles (EAP) and the Binary Partition Trees (BPT). The EAP computes for each pixel a vector of attributes providing a local multiscale representation of the information and hence leading to a fine description of the local structures of the image. Using different attributes allows to address different contexts or applications. The BPTs provide a complete hierarchical description of the image, from the pixels (the leaves) to larger regions as the merging process goes on. The pruning of the tree provides a partition of the image and can address various goals (segmentation, object extraction, classification). The EAP and BPT approaches are used in experiments and the obtained results demonstrate their importance. |
dc.format.extent | 14 p. |
dc.language.iso | eng |
dc.publisher | Springer Verlag |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo |
dc.subject.lcsh | Image processing --Digital techniques. |
dc.title | Hierarchical analysis of remote sensing data: morphological attribute profiles and binary partition trees |
dc.type | Conference report |
dc.subject.lemac | Imatges -- Processament -- Tècniques digitals |
dc.contributor.group | Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
dc.identifier.doi | 10.1007/978-3-642-21569-8_27 |
dc.identifier.dl | 2011 |
dc.description.peerreviewed | Peer Reviewed |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 9407986 |
dc.description.version | Postprint (published version) |
local.citation.author | Benediktsson, J.; Bruzzone, L.; Chanussot, J.; Dalla Mura, M.; Salembier, P.; Valero, S. |
local.citation.contributor | International Symposium on Mathematical Morphology |
local.citation.pubplace | Verbania-Intra |
local.citation.publicationName | Mathematical Morphology and Its Applications to Image and Signal Processing |
local.citation.startingPage | 306 |
local.citation.endingPage | 319 |