IEEE Transactions on geoscience and remote sensing / IEEE Geoscience and remote sensing society (Etats-Unis) . vol 45 n° 6 Tome 1Mention de date : June 2007 Paru le : 01/06/2007 ISBN/ISSN/EAN : 0196-2892 |
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est un bulletin de IEEE Transactions on geoscience and remote sensing / IEEE Geoscience and remote sensing society (Etats-Unis) (1986 -)
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Ajouter le résultat dans votre panierSatellite image analysis for disaster and crisis-management support / S. Voigt in IEEE Transactions on geoscience and remote sensing, vol 45 n° 6 Tome 1 (June 2007)
[article]
Titre : Satellite image analysis for disaster and crisis-management support Type de document : Article/Communication Auteurs : S. Voigt, Auteur ; T. Kemper, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 1520 - 1528 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse d'image numérique
[Termes IGN] cartographie des risques
[Termes IGN] dommage matériel
[Termes IGN] gestion de crise
[Termes IGN] image multicapteur
[Termes IGN] processus cartographique
[Termes IGN] protection civile
[Termes IGN] risque majeur
[Termes IGN] spatiocarteRésumé : (Auteur) This paper describes how multisource satellite data and efficient image analysis may successfully be used to conduct rapid-mapping tasks in the domain of disaster and crisis-management support. The German Aerospace Center (DLR) has set up a dedicated crosscutting service, which is the so-called "Center for satellite-based Crisis Information" (ZKI), to facilitate the use of its Earth-observation capacities in the service of national and international response to major disaster situations, humanitarian relief efforts, and civil security issues. This paper describes successful rapid satellite mapping campaigns supporting disaster relief and demonstrates how this technology can be used for civilian crisis-management purposes. During the last years, various international coordination bodies were established, improving the disaster-response-related cooperation within the Earth-observation community worldwide. DLR/ZKI operates in this context, closely networking with public authorities (civil security), nongovernmental organizations (humanitarian relief organizations), satellite operators, and other space agencies. This paper reflects on several of these international activities, such as the International Charter Space and Major Disasters, describes mapping procedures, and reports on rapid-mapping experiences gained during various disaster-response applications. The example cases presented cover rapid impact assessment after the Indian Ocean Tsunami, forest fires mapping for Portugal, earthquake-damage assessment for Pakistan, and landslide extent mapping for the Philippines. Copyright IEEE Numéro de notice : A2007-360 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2007.895830 En ligne : https://doi.org/10.1109/TGRS.2007.895830 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28723
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 6 Tome 1 (June 2007) . - pp 1520 - 1528[article]Automatic and precise orthorectification, coregistration, and subpixel correlation of satellite images: application to ground deformation measurements / S. Leprince in IEEE Transactions on geoscience and remote sensing, vol 45 n° 6 Tome 1 (June 2007)
[article]
Titre : Automatic and precise orthorectification, coregistration, and subpixel correlation of satellite images: application to ground deformation measurements Type de document : Article/Communication Auteurs : S. Leprince, Auteur ; Sylvain Barbot, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 1529 - 1558 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale
[Termes IGN] analyse infrapixellaire
[Termes IGN] corrélation
[Termes IGN] crénelage
[Termes IGN] déformation de la croute terrestre
[Termes IGN] image optique
[Termes IGN] image SPOT
[Termes IGN] matrice inversible
[Termes IGN] modèle numérique de surface
[Termes IGN] orientation du capteur
[Termes IGN] orthorectification
[Termes IGN] séisme
[Termes IGN] superposition d'imagesRésumé : (Auteur) We describe a procedure to accurately measure ground deformations from optical satellite images. Precise orthorectification is obtained owing to an optimized model of the imaging system, where look directions are linearly corrected to compensate for attitude drifts, and sensor orientation uncertainties are accounted for. We introduce a new computation of the inverse projection matrices for which a rigorous resampling is proposed. The irregular resampling problem is explicitly addressed to avoid introducing aliasing in the ortho-rectified images. Image registration and correlation is achieved with a new iterative unbiased processor that estimates the phase plane in the Fourier domain for subpixel shift detection. Without using supplementary data, raw images are wrapped onto the digital elevation model and coregistered with a 1/50 pixel accuracy. The procedure applies to images from any pushbroom imaging system. We analyze its performance using Satellite pour l'Observation de la Terre (SPOT) images in the case of a null test (no coseismic deformation) and in the case of large coseismic deformations due to the Mw 7.1 Hector Mine, California, earthquake of 1999. The proposed technique would also allow precise coregistration of images for the measurement of surface displacements due to ice-flow or geomorphic processes, or for any other change detection applications. A complete software package, the Coregistration of Optically Sensed Images and Correlation, is available for download from the Caltech Tectonics Observatory website. Numéro de notice : A2007-361 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.888937 En ligne : https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4215064 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28724
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 6 Tome 1 (June 2007) . - pp 1529 - 1558[article]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)
[article]
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 hydrologiqueRésumé : (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
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 6 Tome 1 (June 2007) . - pp 1559 - 1570[article]