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Automatic extraction of main road centrelines from high resolution satellite imagery using hierarchical grouping / Xiangyun Hu in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 9 (September 2007)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 9 (September 2007) . - pp 1049 - 1056 Titre : Automatic extraction of main road centrelines from high resolution satellite imagery using hierarchical grouping Type de document : Article/Communication Auteurs : Xiangyun Hu, Auteur ; V. Tao, Auteur Année de publication : 2007 Article en page(s) : pp 1049 - 1056 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] approche hiérarchique [Termes IGN] axe médian [Termes IGN] extraction du réseau routier [Termes IGN] image à résolution métrique [Termes IGN] image Ikonos [Termes IGN] image Quickbird [Termes IGN] zone urbaine Résumé : (Auteur) Automatic road centerline extraction from high-resolution satellite imagery has gained considerable interest recently due to the increasing availability of commercial high-resolution satellite images. In this paper, a hierarchical grouping strategy is proposed to automatically extract main road centerlines from high-resolution satellite imagery. Here hierarchical grouping means that, instead of grouping all segments at once, the selective segments are grouped gradually, and multiple clues are closely integrated into the procedure. By this means, the computational cost can be reduced significantly. Through the stepwise grouping, the detected fragmented line segments eventually form the long main road lines. The proposed method has been tested and validated using several Ikonos and QuickBird images both in open areas and build-up urban environments. The results demonstrate its robustness and viability on extracting salient main road centerlines. Copyright ASPRS Numéro de notice : A2007-413 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=4c44af1158a711e37 [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28776 [article]

Integration of Ikonos and Quickbird imagery for geopositioning accuracy analysis / R. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 9 (September 2007)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 9 (September 2007) . - pp 1067 - 1074 Titre : Integration of Ikonos and Quickbird imagery for geopositioning accuracy analysis Type de document : Article/Communication Auteurs : R. Li, Auteur ; F. Zhou, Auteur ; X. Niu, Auteur ; K. Di, Auteur Année de publication : 2007 Article en page(s) : pp 1067 - 1074 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] couple stéréoscopique [Termes IGN] données de terrain [Termes IGN] Floride (Etats-Unis) [Termes IGN] fusion d'images [Termes IGN] géopositionnement tridimensionnel [Termes IGN] image Ikonos [Termes IGN] image Quickbird [Termes IGN] modèle par fonctions rationnelles [Termes IGN] précision géométrique (imagerie) Résumé : (Auteur) This research investigated the accuracy in three-dimensional (3D) geopositioning achieved by integrating Ikonos and QuickBird images using the vendor-provided rational polynomial coefficients (RPCs). One pair of stereo Ikonos images and one pair of stereo QuickBird images were collected for the same region of Tampa Bay, Florida, and used in this study. Results of 3D geopositioning from different combinations of Ikonos and QuickBird stereo images were generated by using an improved rational function model (RFM). The relationship between the satellite-borne pointing geometry and the attainable ground accuracy is examined. This research demonstrates that the integration of Ikonos and QuickBird images is feasible and can improve the 3D geopositioning accuracy using a proper combination of images. Copyright ASPRS Numéro de notice : A2007-414 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.researchgate.net/publication/279621130_Integration_of_Ikonos_and_Qui [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28777 [article]