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A scheme for ship detection in inhomogeneous regions based on segmentation of SAR images / F. Zhang in International Journal of Remote Sensing IJRS, vol 29 n°19-20 (October 2008)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 29 n°19-20 (October 2008) . - pp 5733 - 5747 Titre : A scheme for ship detection in inhomogeneous regions based on segmentation of SAR images Type de document : Article/Communication Auteurs : F. Zhang, Auteur ; B. Wu, Auteur Année de publication : 2008 Article en page(s) : pp 5733 - 5747 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] détection d'objet [Termes IGN] estuaire [Termes IGN] Fleuve bleu (Chine) [Termes IGN] image Envisat-ASAR [Termes IGN] image radar [Termes IGN] navire [Termes IGN] objet mobile [Termes IGN] segmentation d'image Résumé : (Auteur) Ship detection in inhomogeneous regions using synthetic aperture radar (SAR) imagery is usually confronted with the severe heterogeneities of the oceans; this paper proposes a new detection scheme to overcome this problem. At first, an object-oriented segmentation algorithm is employed to partition the whole SAR image into several uniform regions. Then, for each partitioned region within water areas, the Kolmogorov-Smirnov test is applied to select the optimal background distribution model, and ship detection is carried out using the adaptive constant false alarm rate (CFAR) detector based on the selected probability density function. Finally, the detection results of each region are merged. An experiment based on an ENVISAT ASAR image of the Yangtze estuary show that the proposed strategy can effectively deal with heterogeneous scenarios in inhomogenous regions and greatly improves the detection results. Copyright Taylor & Francis Numéro de notice : A2008-531 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160802089887 En ligne : https://doi.org/10.1080/01431160802089887 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29601 [article]

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