Wavelet based texture modeling for the classification of very high resolution maritime pine forest images
| hal.structure.identifier | Université Sciences et Technologies - Bordeaux 1 [UB] | |
| dc.contributor.author | REGNIERS, Olivier | |
| hal.structure.identifier | Université Sciences et Technologies - Bordeaux 1 [UB] | |
| dc.contributor.author | BOMBRUN, Lionel | |
| hal.structure.identifier | Interactions Sol Plante Atmosphère [UMR ISPA] | |
| dc.contributor.author | GUYON, Dominique | |
| hal.structure.identifier | Telespazio | |
| dc.contributor.author | SAMALENS, Jean-Charles | |
| hal.structure.identifier | Centre National d’Etudes Spatiales | |
| dc.contributor.author | TINEL, Claire | |
| hal.structure.identifier | Université Sciences et Technologies - Bordeaux 1 [UB] | |
| dc.contributor.author | GRENIER, Gilbert | |
| hal.structure.identifier | Université Sciences et Technologies - Bordeaux 1 [UB] | |
| dc.contributor.author | GERMAIN, Christian | |
| dc.date.accessioned | 2024-04-08T11:59:23Z | |
| dc.date.available | 2024-04-08T11:59:23Z | |
| dc.date.issued | 2014 | |
| dc.date.conference | 2014-07-13 | |
| dc.identifier.isbn | 978-1-4799-5775-0 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/195989 | |
| dc.description.abstractEn | This study evaluates the potential of wavelet-based texture modeling for the classification of stand age in a managed maritime pine forest using very high resolution satellite data. A cross-validation approach based on stand age reference data shows that multivariate modeling of the spatial dependence of wavelet coefficients outperforms the use of features derived from co-occurrence matrices. Simultaneously adding features representing the color dependence and leveling the dominant orientation in anisotropic forest stands enhances the classification performances. These results obtained from panchromatic and multispectral PLEIADES data confirm the ability of such wavelet-based multivariate models to efficiently capture the textural properties of very high resolution forest data and opens up perspectives for their use in the mapping of mono-specific forest structure variables. | |
| dc.language.iso | en | |
| dc.publisher | IEEE | |
| dc.publisher.location | (united states) | |
| dc.subject.en | forest structure | |
| dc.subject.en | texture analysis | |
| dc.subject.en | classification | |
| dc.subject.en | very high resolution | |
| dc.subject.en | wavelet | |
| dc.title.en | Wavelet based texture modeling for the classification of very high resolution maritime pine forest images | |
| dc.type | Communication dans un congrès | |
| dc.identifier.doi | 10.1109/IGARSS.2014.6946861 | |
| dc.subject.hal | Sciences de l'ingénieur [physics]/Traitement du signal et de l'image | |
| bordeaux.hal.laboratories | Interactions Soil Plant Atmosphere (ISPA) - UMR 1391 | * |
| bordeaux.institution | Bordeaux Sciences Agro | |
| bordeaux.institution | INRAE | |
| bordeaux.conference.title | IGARSS 2014, International Geoscience and Remote Sensing Symposium | |
| bordeaux.country | CA | |
| bordeaux.conference.city | Québec | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-02740589 | |
| hal.version | 1 | |
| hal.invited | non | |
| hal.conference.organizer | IEEE Geoscience and Remote Sensing Society (GRSS). USA. | |
| hal.conference.end | 2014-07-18 | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-02740589v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2014&rft.au=REGNIERS,%20Olivier&BOMBRUN,%20Lionel&GUYON,%20Dominique&SAMALENS,%20Jean-Charles&TINEL,%20Claire&rft.isbn=978-1-4799-5775-0&rft.genre=unknown |
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