Détail de l'auteur
Auteur Y. Sen |
Documents disponibles écrits par cet auteur (1)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externes
Mapping urban road infrastructure using remotely sensed images / Taskin Kavzoglu in International Journal of Remote Sensing IJRS, vol 30 n° 7 (April 2009)
[article]
Titre : Mapping urban road infrastructure using remotely sensed images Type de document : Article/Communication Auteurs : Taskin Kavzoglu, Auteur ; Y. Sen, Auteur ; M. Cetin, Auteur Année de publication : 2009 Article en page(s) : pp 1759 - 1769 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte thématique
[Termes IGN] chaussée
[Termes IGN] image Ikonos
[Termes IGN] Istanbul (Turquie)
[Termes IGN] réalité de terrain
[Termes IGN] réseau routierRésumé : (Auteur) Comprehensive and accurate information on the conditions of the road infrastructure is essential for effective management and planning of the road network, especially in cities facing serious traffic congestion problems, as in the city of Istanbul, Turkey. One of the most important services of the local authorities is the rehabilitation of road surfaces. Asphalt resurfacing is carried out to renew the road surface and restore its resistance to weathered and traffic worn pavements. Today, the determination of pavement surface conditions is usually carried out through visual inspections by the experts and interpretation of in situ photographs/videos. In this study, an investigation has been made to understand the spectral behaviour of the asphalt in terms of its contents and age, also to discover the feasibility of using widely available satellite sensors in the determination of road surface conditions. Two datasets in the study area from D-100 road and TEM highway were used to examine asphalt road aging and deterioration. The changes to the conditions of the roads were detected using multispectral IKONOS images and ground spectral measurements for asphalt samples were obtained using an Analytical Spectral Devices full range (ASD FR) instrument in a laboratory environment. It was found that the road deformations mainly occur in areas where vehicles reduce or increase their speeds suddenly. Road sections just before toll booths and junctions are found to be more prone to deformations. IKONOS images can be effectively used to determine the condition of the asphalt pixels. Copyright Taylor & Francis Numéro de notice : A2009-171 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160802639582 En ligne : https://doi.org/10.1080/01431160802639582 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29801
in International Journal of Remote Sensing IJRS > vol 30 n° 7 (April 2009) . - pp 1759 - 1769[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-09041 RAB Revue Centre de documentation En réserve L003 Exclu du prêt