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Fast and accurate target detection based on multiscale saliency and active contour model for high-resolution SAR images / Song Tu in IEEE Transactions on geoscience and remote sensing, vol 54 n° 10 (October 2016)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 54 n° 10 (October 2016) . - pp 5729 - 5744 Titre : Fast and accurate target detection based on multiscale saliency and active contour model for high-resolution SAR images Type de document : Article/Communication Auteurs : Song Tu, Auteur ; Yi Su, Auteur Année de publication : 2016 Article en page(s) : pp 5729 - 5744 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] détection de changement [Termes IGN] détection de cible [Termes IGN] détection de contours [Termes IGN] granularité d'image [Termes IGN] image optique [Termes IGN] image radar moirée [Termes IGN] imagerie médicale [Termes IGN] précision des données Résumé : (auteur) The active contour model (ACM) is widely used in target detection of optical and medical images, but multiplicative speckle noise largely interferes with its use in synthetic aperture radar (SAR) images. To overcome this difficulty, a region- and edge-based convex ACM with high efficiency is proposed for target detection in small-scale SAR images. Then, a novel detection algorithm, which combines the advantages of a multiscale saliency detection method and the proposed high-efficiency ACM, is presented to address a large-scale and high-resolution SAR image automatically. Target detection experiments in real and simulated SAR images show that the proposed methods outperform classical ACMs and the popular two-parameter constant false alarm rate detector in terms of efficiency and accuracy. Numéro de notice : A2016-861 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2571309 En ligne : https://doi.org/10.1109/TGRS.2016.2571309 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82892 [article]