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Satellite image collection modeling for large area hazard emergency response / Shufan Liu in ISPRS Journal of photogrammetry and remote sensing, vol 118 (August 2016)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 118 (August 2016) . - pp 13 – 21 Titre : Satellite image collection modeling for large area hazard emergency response Type de document : Article/Communication Auteurs : Shufan Liu, Auteur ; Michael E. Hodgson, Auteur Année de publication : 2016 Article en page(s) : pp 13 – 21 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] cartographie d'urgence [Termes IGN] image satellite [Termes IGN] planification [Termes IGN] risque naturel [Termes IGN] traitement d'image Résumé : (auteur) Timely collection of critical hazard information is the key to intelligent and effective hazard emergency response decisions. Satellite remote sensing imagery provides an effective way to collect critical information. Natural hazards, however, often have large impact areas – larger than a single satellite scene. Additionally, the hazard impact area may be discontinuous, particularly in flooding or tornado hazard events. In this paper, a spatial optimization model is proposed to solve the large area satellite image acquisition planning problem in the context of hazard emergency response. In the model, a large hazard impact area is represented as multiple polygons and image collection priorities for different portion of impact area are addressed. The optimization problem is solved with an exact algorithm. Application results demonstrate that the proposed method can address the satellite image acquisition planning problem. A spatial decision support system supporting the optimization model was developed. Several examples of image acquisition problems are used to demonstrate the complexity of the problem and derive optimized solutions. Numéro de notice : A2016-588 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.04.007 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2016.04.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81733 [article]