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Auteur M. Cetin |
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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 Merging hyperspectral and panchromatic image data: qualitative and quantitative analysis / M. Cetin in International Journal of Remote Sensing IJRS, vol 30 n° 7 (April 2009)
[article]
Titre : Merging hyperspectral and panchromatic image data: qualitative and quantitative analysis Type de document : Article/Communication Auteurs : M. Cetin, Auteur ; Nebiye Musaoglu, Auteur Année de publication : 2009 Article en page(s) : pp 1779 - 1804 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] fusion d'images
[Termes IGN] image EO1-ALI
[Termes IGN] image EO1-Hyperion
[Termes IGN] image hyperspectrale
[Termes IGN] image Ikonos
[Termes IGN] image Landsat-ETM+
[Termes IGN] image panchromatique
[Termes IGN] image SPOT
[Termes IGN] transformation en ondelettes
[Termes IGN] transformation intensité-teinte-saturation
[Termes IGN] transformation rapide de Fourier
[Termes IGN] TurquieRésumé : (Auteur) Image fusion is one of the most commonly used image enhancement techniques for improving the spatial quality of the source image with minimal spectral distortion in remote sensing. Until now, data fusion algorithms were developed and applied to improve the spatial resolution of the multispectral images and also their performances were evaluated depending on the source images such as Landsat Enhanced Thematic Mapper Plus (ETM+), Landsat Multispectral (MS)/Panchromatic (PAN), Satellite pour l'Observation de la Terre (SPOT) XS/PAN and IKONOS MS/PAN datasets. This paper assesses whether hyperspectral images, having very narrow bands compared to multispectral images, can be fused with high spatial resolution panchromatic images using common and current new algorithms including Intensity-Hue Saturation (IHS), Principal Component Substitution (PCS), Gram Schmidt Transformation (GST), Smoothing Filter-based Intensity Modulation (SFIM), Discrete Wavelet Transform (DWT), wavelet-based IHS (DWT-IMS) and PCS (DWT-PCS) and Fast Fourier Transform (FFT)-enhanced IHS. We also examine the performance of the fused hyperspectral images with respect to the fused multispectral images. For this purpose, two different source datasets (EO1 Hyperion/ALI PAN and EO1 ALI MS/PAN) were used. Some qualitative and quantitative analyses were implemented to assess the spatial and spectral quality of the fused images. The results show that it was possible to carry out the fusion of a narrow-band hyperspectral image and a high spatial resolution panchromatic image. The fusion of EO1 Hyperion/ALI PAN and EO1 ALI MS/PAN datasets using the SFIM, DWT-PCS, DWT-IHS and FFT-IHS algorithms produces better results than other techniques. Also, the results show that the fusion methods behaved for both datasets in the same performances except the DWT algorithm. The DWT method has a lower performance for the hyperspectral image compared to the multispectral image. Therefore the DWT algorithm should be further studied to improve the spectral qualities of a fused hyperspectral image based on wavelet transformation. Copyright Taylor & Francis Numéro de notice : A2009-172 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160802639525 En ligne : https://doi.org/10.1080/01431160802639525 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29802
in International Journal of Remote Sensing IJRS > vol 30 n° 7 (April 2009) . - pp 1779 - 1804[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-09041 RAB Revue Centre de documentation En réserve L003 Exclu du prêt