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hal.structure.identifierMéthodes d'Analyses pour le Traitement d'Images et la Stéréorestitution [MATIS]
dc.contributor.authorCAZALS, Cécile
hal.structure.identifierUniversité Paris Est
dc.contributor.authorBENELCADI, Hajar
hal.structure.identifierUniversité Paris Est
dc.contributor.authorFRISON, Pierre-Louis
hal.structure.identifierTélécom Bretagne
dc.contributor.authorMERCIER, Grégoire
hal.structure.identifierOffice National des Forêts International [ONFI]
dc.contributor.authorLARDEUX, Cédric
hal.structure.identifierENSEGID
dc.contributor.authorCHEHATA, Nesrine
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorCHAMPION-LECLAIR, Isabelle
hal.structure.identifierUniversité Paris Est
dc.contributor.authorRUDANT, Jean-Paul
dc.date.accessioned2024-04-08T12:11:15Z
dc.date.available2024-04-08T12:11:15Z
dc.date.issued2015
dc.date.conference2015-07-26
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196683
dc.description.abstractEnThis study evaluates the potential of High Resolution Spotlight TerraSAR-X image for forest type discrimination. Emphasis is put on textural analysis accessible with high resolution radar data. Textural attributes are extracted from GLCM matrices, wavelet, and Fourier Transform (i.e. FOTO method). Their contribution for classification is assessed by their performance through the SVM algorithm.
dc.language.isoen
dc.source.title2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
dc.subjectcartographie de la végétation
dc.subjectpolarimétrie
dc.subjecttélédétection
dc.subject.entexture
dc.subject.enSAR
dc.subject.enTerraSAR-X
dc.subject.enFourier transform
dc.subject.enwavelet transform
dc.subject.enHaralick
dc.subject.enSVM
dc.subject.envegetation
dc.subject.enpolarimetry
dc.subject.enremote sensing
dc.title.enContribution of textural information from TERRASAR-X image for forest mapping
dc.typeCommunication dans un congrès
dc.identifier.doi10.1109/IGARSS.2015.7325822
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
bordeaux.pagenp
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.conference.titleIEEE International Geoscience and Remote Sensing Symposium
bordeaux.countryIT
bordeaux.title.proceeding2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
bordeaux.conference.cityMilan
bordeaux.peerReviewedoui
hal.identifierhal-01522130
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.organizerIEEE Geoscience and Remote Sensing Society (GRSS). USA.
hal.conference.end2015-07-31
hal.popularnon
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01522130v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=2015%20IEEE%20International%20Geoscience%20and%20Remote%20Sensing%20Symposium%20(IGARSS)&rft.date=2015&rft.spage=np&rft.epage=np&rft.au=CAZALS,%20C%C3%A9cile&BENELCADI,%20Hajar&FRISON,%20Pierre-Louis&MERCIER,%20Gr%C3%A9goire&LARDEUX,%20C%C3%A9dric&rft.genre=unknown


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