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A new maximum-likelihood joint segmentation technique for multitemporal SAR and multiband optical images / P. Lombardo in IEEE Transactions on geoscience and remote sensing, vol 41 n° 11 (November 2003)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 41 n° 11 (November 2003) Titre : A new maximum-likelihood joint segmentation technique for multitemporal SAR and multiband optical images Type de document : Article/Communication Auteurs : P. Lombardo, Auteur ; C.J. Oliver, Auteur ; T.M. Pellizzeri, Auteur ; et al., Auteur Année de publication : 2003 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte [Termes IGN] classification non dirigée [Termes IGN] classification par maximum de vraisemblance [Termes IGN] fusion d'images [Termes IGN] image ERS-SAR [Termes IGN] image Landsat-TM [Termes IGN] image multibande [Termes IGN] image multitemporelle [Termes IGN] image optique [Termes IGN] image radar [Termes IGN] méthode de Monte-Carlo Résumé : (Auteur) In this paper, we devise a new technique for the fusion of a sequence of multitemporal single-channel synthetic aperture radar (SAR) images of a given area with a single multiband optical image. Unlike for SAR, the availability of optical images is largely affected by atmospheric conditions, so that this is a case of practical interest. First, a statistical model for the joint distribution of SAR and optical data is provided. Then, a split-merge test based on this model is derived, and its performance is evaluated both analytically and using a Monte Carlo simulation. A new segmentation technique is introduced (OPT MUM), based on the test and on a region-growing scheme. The effectiveness of the proposed technique for the fusion of multitemporal SAR and multiband optical images is tested on synthetic and real images. Results show that the proposed scheme allows to both 1) discriminate characteristics that would be impossible to distinguish using only a single sensor and 2) increase the overall discrimination performance, even when each sensor has its own discrimination capability. Numéro de notice : A2003-319 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.818814 En ligne : https://doi.org/10.1109/TGRS.2003.818814 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22615 [article]

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