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A novel approach for disaster monitoring: fractal models and tools / G. Di Martino in IEEE Transactions on geoscience and remote sensing, vol 45 n° 6 Tome 1 (June 2007)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 45 n° 6 Tome 1 (June 2007) . - pp 1559 - 1570 Titre : A novel approach for disaster monitoring: fractal models and tools Type de document : Article/Communication Auteurs : G. Di Martino, Auteur ; A. Iodice, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 1559 - 1570 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] détection de changement [Termes IGN] écho radar [Termes IGN] géométrie fractale [Termes IGN] image radar moirée [Termes IGN] inondation [Termes IGN] interpolation [Termes IGN] modèle géométrique [Termes IGN] risque naturel [Termes IGN] risque technologique [Termes IGN] scène [Termes IGN] surveillance hydrologique Résumé : (Auteur) In this paper, we present a complete framework to support the monitoring of natural and man-made disasters by means of synthetic aperture radar (SAR) images. The fractal geometry is the most appropriate mathematical instrument in describing the irregularity of a natural observed scene, by means of few effective and reliable parameters. Therefore, fractal concepts can be used to model and identify geometrical changes that occurred in areas hit by disasters. We present an overall framework employing fractal-based models, algorithms, and tools to support the identification of natural area changes due to natural or man-made disasters. Such a framework includes an algorithm used to extract fractal parameters from a 2-D signal, a fractal interpolation tool, and a SAR raw-signal simulator. The combined use of these tools provides an innovative instrument for disaster monitoring applications. In this paper, we implement the fractal framework to obtain a relation between the fractal parameters of a SAR image and those of the relative imaged area. In addition, a case study is discussed, showing the potentiality of our framework for flooding detection. Numéro de notice : A2007-362 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.887024 En ligne : https://doi.org/10.1109/TGRS.2006.887024 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28725 [article]