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Redefining the paradigm of modern mobile mapping: an automated high-precision road centerline mapping system / Charles K. Toth in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 6 (June 2004)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 6 (June 2004) . - pp 685 - 694 Titre : Redefining the paradigm of modern mobile mapping: an automated high-precision road centerline mapping system Type de document : Article/Communication Auteurs : Charles K. Toth, Auteur ; Dorota A. Grejner-Brzezinska, Auteur Année de publication : 2004 Article en page(s) : pp 685 - 694 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] axe médian [Termes IGN] caméra numérique [Termes IGN] capteur imageur [Termes IGN] centrale inertielle [Termes IGN] GPS-INS [Termes IGN] lever direct [Termes IGN] positionnement par GPS [Termes IGN] précision centimétrique [Termes IGN] réseau routier [Termes IGN] système de numérisation mobile [Termes IGN] temps réel Résumé : (Auteur) A high-precision land-based integrated mapping system has been developed at The Ohio State University to support road centerline mapping operations at the Ohio Department of Transportation District & Office. The system represents a transition from the traditional mobile mapping paradigm towards a highly automated and autonomous design following the trends of modem geoinformatics. The two key components of the custom-designed system are a high-precision integrated GPS-INS navigation system and a fully digital and automated imaging subsystem. The van-based mapping system was designed to deliver the road centerline positions at subdecimeter accuracy in a highly automated manner with limited human interaction in near real time. The paper presents the system's concept and design, followed by an individual performance evaluation of the navigation and imaging components; and finally road test results, representing an operational environment, are also reported. Copyright ASPRS Numéro de notice : A2004-203 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.6.685 En ligne : https://doi.org/10.14358/PERS.70.6.685 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26730 [article]

DTM generation from Ikonos in-track stereo images using a 3D physical model / Thierry Toutin in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 6 (June 2004)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 6 (June 2004) . - pp 695 - 702 Titre : DTM generation from Ikonos in-track stereo images using a 3D physical model Type de document : Article/Communication Auteurs : Thierry Toutin , Auteur Année de publication : 2004 Article en page(s) : pp 695 - 702 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] analyse comparative [Termes IGN] appariement d'images [Termes IGN] azimut [Termes IGN] compensation par faisceaux [Termes IGN] données lidar [Termes IGN] données multitemporelles [Termes IGN] erreur systématique [Termes IGN] image à résolution métrique [Termes IGN] image Ikonos [Termes IGN] modèle géométrique de prise de vue [Termes IGN] modèle numérique de surface [Termes IGN] modèle numérique de terrain [Termes IGN] pente [Termes IGN] point d'appui [Termes IGN] saison [Termes IGN] utilisation du sol [Termes IGN] végétation Résumé : (Auteur) A digital elevation model (DEM) extracted from Ikonos in-track stereo images using a 3D physical model developed at the Canada Centre for Remote Sensing, Natural Resources Canada was evaluated. First, the stereo photogrammetric bundle adjustment was set up with about ten accurate ground control points. The DEM was then generated using an area-based multiscale image matching method and 3D semiautomatic editing tools and then compared to lidar elevation data with a 0.2-m accuracy. Because the DEM is, in fact, a digital terrain surface model where the height of land cover (trees, houses) is included, the accuracy varies depending on land cover types. Using 3D visual classification of the stereo Ikonos images, different classes (forests, residential, bare soil, lakes) were generated to take into account the height of the surface (natural and human-made) in the accuracy evaluation. An elevation linear error with 68 percent confidence level (LE68) of 1.5 m was obtained for bare surfaces while an LE68 of 6.4 m was achieved over the full area. Five-meter contour lines could thus be derived, compliant with the highest topographic standard. Better results could thus be expected when using stereo-images acquired in the summertime. On the other hand, an LE68 of 2.5 m to 6.6 m was obtained depending on the land-cover type and its surface height. For residential areas, the surface height did not affect the errors very much (2.5-m LE68) when compared to bare surface results because one- and two-story houses were sparse in the test area. Because the images were unfortunately acquired in wintertime and the lidar data in summertime, elevation errors (LE68 and bias) also depended on the type of forest (deciduous, coniferous, mixed, sparse). An evaluation based on terrain slope and azimuth showed that the DEM error was linearly correlated with slope and that elevations on sun-facing slopes were 1-m more accurate than elevations on slopes facing away from the sun. Numéro de notice : A2004-204 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.6.695 En ligne : http://dx.doi.org/10.14358/PERS.70.6.695 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26731 [article]

Mapping coastal vegetation using an expert system and hyperspectral imagery / K.S. Schmidt in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 6 (June 2004)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 6 (June 2004) . - pp 703 - 715 Titre : Mapping coastal vegetation using an expert system and hyperspectral imagery Type de document : Article/Communication Auteurs : K.S. Schmidt, Auteur ; Andrew K. Skidmore, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 703 - 715 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse comparative [Termes IGN] carte de la végétation [Termes IGN] classification [Termes IGN] image hyperspectrale [Termes IGN] littoral [Termes IGN] marais salé [Termes IGN] Pays-Bas [Termes IGN] photo-interprétation [Termes IGN] photo-interprétation assistée par ordinateur [Termes IGN] photographie aérienne [Termes IGN] plante halophile [Termes IGN] système expert Résumé : (Auteur) Mapping and monitoring saltmarshes in the Netherlands are important activities of the Ministry of Public Works (Rijkswaterstaot). The Survey Department (Meetkundige Dienst) produces vegetation maps using aerial photographs. However, it is a time-consuming and expensive activity. The accuracy of the conventional vegetation map derived using aerial photograph interpretation (API) is estimated to be around 43 percent. In this study, an alternative method is demonstrated that uses an expert system to combine airborne hyperspectral imagery with terrain data derived from radar altimetry The accuracy of the vegetation map generated by the expert system increased to 66 percent. When hyperspectral imagery alone was used to classify coastal wetlands, an accuracy of 40 percent was achieved-comparable to the accuracy of the API-derived vegetation map. An analysis of the efficiency of the proposed expert system showed that the speed of map production is increased by using the new method. This means that digital image classification using the expert system is an objective and repeatable method superior to the conventional API method. Numéro de notice : A2004-205 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.70.6.703 En ligne : https://doi.org/10.14358/PERS.70.6.703 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26732 [article]