Photogrammetric Engineering & Remote Sensing, PERS / American society for photogrammetry and remote sensing . vol 70 n° 12Mention de date : December 2004 Paru le : 01/12/2004 |
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Ajouter le résultat dans votre panierUser-centric evaluation of semi-automated road network extraction / W. Harvey in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)
[article]
Titre : User-centric evaluation of semi-automated road network extraction Type de document : Article/Communication Auteurs : W. Harvey, Auteur ; J. Chris Mcglone, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 1353 - 1364 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] analyse comparative
[Termes IGN] convivialité
[Termes IGN] extraction du réseau routier
[Termes IGN] extraction manuelle
[Termes IGN] extraction semi-automatique
[Termes IGN] logiciel de traitement d'image
[Termes IGN] réseau routier
[Termes IGN] Socet SetRésumé : (Auteur) This paper describes an in-depth usability evaluation of our ROADMAP road network extraction system. Six operators used ROADMAP in both manual and semi-automated modes, as well as BAE Systems 'SOCET SET', to extract roads in four image test areas. An in-depth statistical analysis was performed on the timing results, with the main conclusion being that the performance differences among the three systems were not statistically significant. However, the evaluation highlighted a number of factors other than intrinsic feature extraction competence that affected the results and which point to the potential for significant engineering improvements. Numéro de notice : A2004-499 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.12.1353 En ligne : https://doi.org/10.14358/PERS.70.12.1353 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27016
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 12 (December 2004) . - pp 1353 - 1364[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]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]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)
[article]
Titre : Tracking road centrelines from high resolution remote sensing images by least squares correlation matching Type de document : Article/Communication Auteurs : S.R. Park, Auteur ; T. Kim, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 1417 - 1422 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement d'images
[Termes IGN] axe médian
[Termes IGN] corrélation par moindres carrés
[Termes IGN] extraction du réseau routier
[Termes IGN] extraction semi-automatique
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] réseau routier
[Termes IGN] SéoulRésumé : (Auteur) This paper describes a semi-automatic algorithm for tracking road centerlines from satellite images at 1 m resolution. We assume that road centerlines are visible in the image and that among points on road centerlines similarity transformation holds. Previous approaches proposed for semi-automatic road extraction include energy minimization and template matching with global enforcement. In this paper we will show that least squares correlation matching alone can work for tracking road centerlines. Our algorithm works by defining a template around a user-given input point, which shall lie on a road centerline, and then by matching the template against the image along the orientation of the road under consideration. Once matching succeeds, new match proceeds by shifting a matched target window further along road orientation. By repeating the process above, we obtain a series of points, which lie on a road centerline successively. An Ikonos image over Seoul area was used for test. The algorithm could successfully extract road centerlines once valid input points were provided from a user. The contribution of this paper is that we proved template matching could offer wider applicability in feature extraction, and we designed a new template matching scheme that worked for feature extraction without global enforcements. Numéro de notice : A2004-503 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.12.1417 En ligne : http://dx.doi.org/10.14358/PERS.70.12.1417 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27020
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 12 (December 2004) . - pp 1417 - 1422[article]A wavelet transform based for road centerline extraction / Tianen Chen in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)
[article]
Titre : A wavelet transform based for road centerline extraction Type de document : Article/Communication Auteurs : Tianen Chen, Auteur ; Jing Wang, Auteur ; K. Zhang, Auteur Année de publication : 2004 Article en page(s) : pp 1423 - 1431 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] axe médian
[Termes IGN] données localisées 2D
[Termes IGN] extraction automatique
[Termes IGN] extraction du réseau routier
[Termes IGN] image à haute résolution
[Termes IGN] magnitude
[Termes IGN] transformation en ondelettesRésumé : (Auteur) This paper introduces a new wavelet transform based method of road centerline extraction from high resolution remote sensing images. In the one dimensional case, we characterize different kinds of sudden changes of signals by comparing f the magnitudes of the local extreme values of the wavelet transforms under different dilation scales of the same wavelet. The platform-like signals, which come from cross sections of roads, can be characterized through the evolution of the wavelet transform across scales. A two-dimensional wavelet transform of an image consists of two components, each component is a one dimensional wavelet transform in one coordinate direction followed by a smoothing process in the perpendicular direction. The road edges can be characterized through the evolution of the two-dimensional wavelet transform across different scales. Edges of the main roads can then be extracted using these characterizations, and the road centerlines can be obtained by proper post-processing. Numéro de notice : A2004-504 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.12.1423 En ligne : https://doi.org/10.14358/PERS.70.12.1423 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27021
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 12 (December 2004) . - pp 1423 - 1431[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]