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Termes IGN > sciences naturelles > physique > traitement d'image > analyse d'image numérique > extraction de traits caractéristiques > extraction du réseau routier
extraction du réseau routierSynonyme(s)détection du réseau routier |
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The recognition of road network from high-resolution satellite remotely sensed data using image morphological characteristics / C. Zhu in International Journal of Remote Sensing IJRS, vol 26 n° 24 (December 2005)
[article]
Titre : The recognition of road network from high-resolution satellite remotely sensed data using image morphological characteristics Type de document : Article/Communication Auteurs : C. Zhu, Auteur ; Wei Shi, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 5493 - 5508 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse visuelle
[Termes IGN] appariement de formes
[Termes IGN] échelle d'intensité
[Termes IGN] extraction du réseau routier
[Termes IGN] image à haute résolution
[Termes IGN] image Ikonos
[Termes IGN] morphologie mathématique
[Termes IGN] niveau de gris (image)
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] reconnaissance de formes
[Termes IGN] réseau routier
[Termes IGN] segment de droiteRésumé : (Auteur) With the development of remote sensors and satellite technologies, high-resolution satellite data such as IKONOS images have been available recently. By these new high resolution satellite data, remote sensing technologies can be successfully applied to more application areas such as extracting road network from high resolution satellite images. This paper proposes a newly developed approach to extract a road network from high resolution satellite images. The approach is based on the binary and greyscale mathematical morphology and a line segment match method. First, the outline of road network is detected based on the grey morphological characteristics. Then, the basic road network is detected by the line segment match method. Next, the detected basic road network is processed based on the knowledge about the roads and binary mathematical morphological methods. Finally, visual analysis and three indicators are used to evaluate the accuracy of the extracted road networks. The results of the accuracy evaluation demonstrate that the developed road network extraction approach can provide both good visual effect and high positional accuracy. Numéro de notice : A2005-523 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500300354 En ligne : https://doi.org/10.1080/01431160500300354 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27659
in International Journal of Remote Sensing IJRS > vol 26 n° 24 (December 2005) . - pp 5493 - 5508[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05241 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Automated road extraction from high resolution multispectral imagery / P. Doucette in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)
[article]
Titre : Automated road extraction from high resolution multispectral imagery Type de document : Article/Communication Auteurs : P. Doucette, Auteur ; Peggy Agouris, Auteur ; A. Stefanidis, Auteur Année de publication : 2004 Article en page(s) : pp 1405 - 1416 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] axe médian
[Termes IGN] bande infrarouge
[Termes IGN] banlieue
[Termes IGN] classification dirigée
[Termes IGN] extraction automatique
[Termes IGN] extraction du réseau routier
[Termes IGN] image à haute résolution
[Termes IGN] image en couleur
[Termes IGN] image multibande
[Termes IGN] logique floue
[Termes IGN] milieu urbain
[Termes IGN] parallélisme
[Termes IGN] topologieRésumé : (Auteur) This work presents a novel methodology for fully automated road centerline extraction that exploits spectral content from high resolution multispectral images. Preliminary detection of candidate road centerline components is performed with Anti-parallel-edge Centerline Extraction (ACE). This is followed by constructing a road vector topology with a fuzzy grouping model that links nodes from a self-organized mapping of the ACE components. Following topology construction, a Self-Supervised Road Classification (SSRC) feedback loop is implemented to automate the process of training sample selection and refinement for a road class, as well as deriving practical spectral definitions for non-road classes. SSRC demonstrates a potential to provide dramatic improvement in road extraction results by exploiting spectral content. Road centerline extraction results are presented for three 1 m color infrared suburban scenes which show significant improvement following SSRC. Numéro de notice : A2004-502 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.12.1405 En ligne : https://doi.org/10.14358/PERS.70.12.1405 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27019
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 12 (December 2004) . - pp 1405 - 1416[article]Quantitatively assessing roads extracted from high-resolution imagery / Renaud Péteri in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)
[article]
Titre : Quantitatively assessing roads extracted from high-resolution imagery Type de document : Article/Communication Auteurs : Renaud Péteri, Auteur ; Isabelle Couloigner, Auteur ; Thierry Ranchin, Auteur Année de publication : 2004 Article en page(s) : pp 1449 - 1456 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] analyse comparative
[Termes IGN] évaluation des données
[Termes IGN] extraction du réseau routier
[Termes IGN] image à haute résolution
[Termes IGN] objet géographique linéaireRésumé : (Auteur) Urban mapping has become a challenge for scientists since the launch of high spatial resolution satellites. This paper focuses on the problem of quality when extracting roads from such data. The definition of a judicious reference enabling the establishment of quantitative criteria is proposed. A method is presented and two sets of criteria dedicated to the evaluation of road extraction algorithms are introduced. An example of an application is proposed enhancing the benefits of a rigorous approach of this problem. Numéro de notice : A2004-505 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.12.1449 En ligne : https://doi.org/10.14358/PERS.70.12.1449 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27022
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 12 (December 2004) . - pp 1449 - 1456[article]Road extraction using SVM and image segmentation / M. Song in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)
[article]
Titre : Road extraction using SVM and image segmentation Type de document : Article/Communication Auteurs : M. Song, Auteur ; Daniel L. Civco, Auteur Année de publication : 2004 Article en page(s) : pp 1365 - 1371 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] bande spectrale
[Termes IGN] classification orientée objet
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] extraction du réseau routier
[Termes IGN] objet géographique linéaire
[Termes IGN] pixel
[Termes IGN] segment de droite
[Termes IGN] segmentation d'image
[Termes IGN] seuillage d'image
[Termes IGN] vectorisationRésumé : (Auteur) In this paper, a unique approach for road extraction utilizing pixel spectral information for classification and image segmentation-derived object features was developed. In this approach, road extraction was performed in two steps. In the first step, support vector machine (SVM) was employed merely to classify the image into two groups of categories: a road group and a non-road group. For this classification, support vector machine (SVM) achieved higher accuracy than Gaussian maximum likelihood (GML). In the second step, the road group image was segmented into geometrically homogeneous objects using a region growing technique based on a similarity criterion, with higher weighting on shape factors over spectral criteria. A simple thresholding on the shape index and density features derived from these objects was performed to extract road features, which were further processed by thinning and vectorization to obtain road centerlines. The experiment showed the proposed approach worked well with images comprised by both rural and urban area features. Numéro de notice : A2004-500 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.12.1365 En ligne : https://doi.org/10.14358/PERS.70.12.1365 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27017
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 12 (December 2004) . - pp 1365 - 1371[article]A robust method for semi-automatic extraction of road centrelines using a piecewise parabolic model and least square template matching / Xiangyun Hu in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)
[article]
Titre : A robust method for semi-automatic extraction of road centrelines using a piecewise parabolic model and least square template matching Type de document : Article/Communication Auteurs : Xiangyun Hu, Auteur ; Z. Zhang, Auteur ; C. Vincent Tao, Auteur Année de publication : 2004 Article en page(s) : pp 1393 - 1398 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] appariement de formes
[Termes IGN] axe médian
[Termes IGN] échantillon
[Termes IGN] extraction du réseau routier
[Termes IGN] extraction semi-automatique
[Termes IGN] méthode des moindres carrés
[Termes IGN] méthode robuste
[Termes IGN] objet géographique linéaireRésumé : (Auteur) In this paper, we present a semi-automatic road extraction method based on a piecewise parabola model with O-order continuity. The piecewise parabola model is constructed by seed points coarsely placed by a human operator. In this case, road extraction actually becomes a physical problem of solving of each piece of parabola with only two or three unknown parameters by using image constraints. We have used a least square template matching to solve the parabola parameters. The template is deformable developed based on the automatic detection of dual road edges. In addition, a method of flexible observation weight evaluation has also been developed in this matching method. Extensive testing experiments on various image sets demonstrate that the method is able to extract road centerlines reliably, It offers much higher efficiency in contrast to manual digitizing process. We also discuss some issues about semiautomatic road extraction and future work for improving the reliability and extending the availability of our method. Numéro de notice : A2004-501 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.12.1393 En ligne : https://doi.org/10.14358/PERS.70.12.1393 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27018
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 12 (December 2004) . - pp 1393 - 1398[article]Tracking road centrelines from high resolution remote sensing images by least squares correlation matching / S.R. Park in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)PermalinkUser-centric evaluation of semi-automated road network extraction / W. Harvey in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)PermalinkA wavelet transform based for road centerline extraction / Tianen Chen in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)PermalinkPotentialités de nouveaux capteurs à très haute résolution spatiale pour l'extraction des réseaux de rues urbains / Renaud Péteri in Revue internationale de géomatique, vol 14 n° 3 - 4 (septembre 2004 – février 2005)PermalinkAutomatic highway extraction from high resolution imagery by an energy minimizing based perceptual grouping method / Xiangyun Hu in Geomatica, vol 58 n° 1 (March 2004)PermalinkA wavelet approach to road extraction from high spatial resolution remotely-sensed imagery / Qiaoping Zhang in Geomatica, vol 58 n° 1 (March 2004)PermalinkGraph-supported verification of road databases / Markus Gerke in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 3-4 (January - June 2004)PermalinkObject extraction and revision by image analysis using existing geodata and knowledge: current status and steps towards operational systems / Emmanuel P. Baltsavias in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 3-4 (January - June 2004)PermalinkTowards an operational system for automated updating of road databases by integration of imagery and geodata / C. Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 3-4 (January - June 2004)PermalinkImprovements to urban area characterization using multitemporal and multiangle SAR images / F. Dell'acqua in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)Permalink