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Low-level processing of PolSAR images with binary partition trees
dc.contributor.author | Salembier Clairon, Philippe Jean |
dc.contributor.author | Foucher, Samuel |
dc.contributor.author | López Martínez, Carlos |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2015-02-05T12:59:04Z |
dc.date.created | 2014 |
dc.date.issued | 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.isbn | 978-1-4799-5775-0 |
dc.identifier.uri | http://hdl.handle.net/2117/26233 |
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. |
dc.format.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
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.lcsh | Remote sensing |
dc.subject.lcsh | Image processing |
dc.subject.other | Binary Partition Tree |
dc.subject.other | graph-cut |
dc.subject.other | PolSAR |
dc.subject.other | segmentation |
dc.subject.other | speckle noise |
dc.title | Low-level processing of PolSAR images with binary partition trees |
dc.type | Conference report |
dc.subject.lemac | Teledetecció |
dc.subject.lemac | Imatges -- Processament |
dc.contributor.group | Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
dc.contributor.group | Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
dc.identifier.doi | 10.1109/IGARSS.2014.6946602 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 15392544 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Salembier, P.; Foucher, S.; Lopez, C. |
local.citation.contributor | IEEE International Geoscience and Remote Sensing Symposium |
local.citation.pubplace | Québec |
local.citation.publicationName | 2014 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 13–18, 2014, Québec City, Québec, Canada |
local.citation.startingPage | 1025 |
local.citation.endingPage | 1028 |