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A morphologically preserved multi-resolution TIN surface modeling and visualization method for virtual globes / Xianwei Zheng in ISPRS Journal of photogrammetry and remote sensing, vol 129 (July 2017)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 129 (July 2017) . - pp 41 - 54 Titre : A morphologically preserved multi-resolution TIN surface modeling and visualization method for virtual globes Type de document : Article/Communication Auteurs : Xianwei Zheng, Auteur ; Hanjiang Xiong, Auteur ; Jianya Gong, Auteur ; Linwei Yue, Auteur Année de publication : 2017 Article en page(s) : pp 41 - 54 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] analyse multiéchelle [Termes IGN] arbre quadratique [Termes IGN] globe virtuel [Termes IGN] représentation cartographique 3D [Termes IGN] représentation du relief [Termes IGN] tessellation [Termes IGN] Triangulated Irregular Network Résumé : (Auteur) Virtual globes play an important role in representing three-dimensional models of the Earth. To extend the functioning of a virtual globe beyond that of a “geobrowser”, the accuracy of the geospatial data in the processing and representation should be of special concern for the scientific analysis and evaluation. In this study, we propose a method for the processing of large-scale terrain data for virtual globe visualization and analysis. The proposed method aims to construct a morphologically preserved multi-resolution triangulated irregular network (TIN) pyramid for virtual globes to accurately represent the landscape surface and simultaneously satisfy the demands of applications at different scales. By introducing cartographic principles, the TIN model in each layer is controlled with a data quality standard to formulize its level of detail generation. A point-additive algorithm is used to iteratively construct the multi-resolution TIN pyramid. The extracted landscape features are also incorporated to constrain the TIN structure, thus preserving the basic morphological shapes of the terrain surface at different levels. During the iterative construction process, the TIN in each layer is seamlessly partitioned based on a virtual node structure, and tiled with a global quadtree structure. Finally, an adaptive tessellation approach is adopted to eliminate terrain cracks in the real-time out-of-core spherical terrain rendering. The experiments undertaken in this study confirmed that the proposed method performs well in multi-resolution terrain representation, and produces high-quality underlying data that satisfy the demands of scientific analysis and evaluation. Numéro de notice : A2017-346 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.04.013 En ligne : https://dx.doi.org/10.1016/j.isprsjprs.2017.04.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85606 [article]

Exemplaires(3)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2017071	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-2017073	DEP-EXM	Revue	LASTIG	Dépôt en unité	Exclu du prêt
081-2017072	DEP-EAF	Revue	Nancy	Dépôt en unité	Exclu du prêt

High-quality seamless DEM generation blending SRTM-1, ASTER GDEM v2 and ICESat/GLAS observations / Linwei Yue in ISPRS Journal of photogrammetry and remote sensing, vol 123 (January 2017)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 123 (January 2017) . - pp 20 - 34 Titre : High-quality seamless DEM generation blending SRTM-1, ASTER GDEM v2 and ICESat/GLAS observations Type de document : Article/Communication Auteurs : Linwei Yue, Auteur ; Huanfeng Shen, Auteur ; Liangpei Zhang, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 20 - 34 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] classification par réseau neuronal [Termes IGN] données ICEsat [Termes IGN] évaluation [Termes IGN] fusion d'images [Termes IGN] image SRTM [Termes IGN] image Terra-ASTER [Termes IGN] modèle numérique de surface [Termes IGN] modèle numérique mondial de surface [Termes IGN] Triangulated Irregular Network Résumé : (Auteur) The absence of a high-quality seamless global digital elevation model (DEM) dataset has been a challenge for the Earth-related research fields. Recently, the 1-arc-second Shuttle Radar Topography Mission (SRTM-1) data have been released globally, covering over 80% of the Earth’s land surface (60°N–56°S). However, voids and anomalies still exist in some tiles, which has prevented the SRTM-1 dataset from being directly used without further processing. In this paper, we propose a method to generate a seamless DEM dataset blending SRTM-1, ASTER GDEM v2, and ICESat laser altimetry data. The ASTER GDEM v2 data are used as the elevation source for the SRTM void filling. To get a reliable filling source, ICESat GLAS points are incorporated to enhance the accuracy of the ASTER data within the void regions, using an artificial neural network (ANN) model. After correction, the voids in the SRTM-1 data are filled with the corrected ASTER GDEM values. The triangular irregular network based delta surface fill (DSF) method is then employed to eliminate the vertical bias between them. Finally, an adaptive outlier filter is applied to all the data tiles. The final result is a seamless global DEM dataset. ICESat points collected from 2003 to 2009 were used to validate the effectiveness of the proposed method, and to assess the vertical accuracy of the global DEM products in China. Furthermore, channel networks in the Yangtze River Basin were also extracted for the data assessment. Numéro de notice : A2017-007 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.11.002 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2016.11.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83906 [article]

Exemplaires(3)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2017011	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-2017013	DEP-EXM	Revue	LASTIG	Dépôt en unité	Exclu du prêt
081-2017012	DEP-EAF	Revue	Nancy	Dépôt en unité	Exclu du prêt

An improved ANUDEM method combining topographic correction and DEM interpolation / Xianwei Zheng in Geocarto international, vol 31 n° 5 - 6 (May - June 2016)  

Public [article]  inGeocarto international > vol 31 n° 5 - 6 (May - June 2016) . - pp 492 - 505 Titre : An improved ANUDEM method combining topographic correction and DEM interpolation Type de document : Article/Communication Auteurs : Xianwei Zheng, Auteur ; H. Xiong, Auteur ; Jianya Gong, Auteur ; Linwei Yue, Auteur Année de publication : 2016 Article en page(s) : pp 492 - 505 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] contour [Termes IGN] correction topographique [Termes IGN] détail topographique [Termes IGN] interpolation spatiale [Termes IGN] modèle numérique de surface [Termes IGN] relief Résumé : (Auteur) Void filling and anomaly replacement in conjunction with auxiliary sources of data have been widely used to improve the quality of existing problematic high-resolution digital elevation models. However, the traditional interpolation methods used for this purpose have always failed to eliminate the discrepancies between different data-sets. In this paper, an improved ANUDEM method is presented for DEM interpolation, which incorporates the idea of topographic correction using high correlation of topological structure between contour lines (CLs) from multi-scale digital elevation models (DEM). Firstly, the terrain topological structure is extracted from the CLs of a low-resolution DEM. The topographic surface correction is then undertaken based on the extracted structure, which recovers the topographic information of the sharp depressions and eminences to fit the high-resolution representation. Finally, the breaklines of the terrain surface are distilled and integrated into the denser DEM generation. The experiments undertaken confirmed the superiority of the proposed method over the other DEM interpolation methods. It is shown that the proposed method can provide results with a higher accuracy, as well as a better visual quality. Numéro de notice : A2016-168 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2015.1059899 Date de publication en ligne : 11/07/2015 En ligne : http://www.tandfonline.com/doi/full/10.1080/10106049.2015.1059899 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80507 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-2016031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Fusion of multi-scale DEMs using a regularized super-resolution method / Linwei Yue in International journal of geographical information science IJGIS, vol 29 n° 12 (December 2015)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 29 n° 12 (December 2015) . - pp 2095 - 2120 Titre : Fusion of multi-scale DEMs using a regularized super-resolution method Type de document : Article/Communication Auteurs : Linwei Yue, Auteur ; Huanfeng Shen, Auteur ; Qiangqiang Yuan, Auteur ; Liangpei Zhang, Auteur Année de publication : 2015 Article en page(s) : pp 2095 - 2120 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] couverture (données géographiques) [Termes IGN] données multisources [Termes IGN] modèle numérique de terrain [Termes IGN] représentation multiple Résumé : (Auteur) The digital elevation model (DEM) is a significant digital representation of a terrain surface. Although a variety of DEM products are available, they often suffer from problems varying in spatial coverage, data resolution, and accuracy. However, the multi-source DEMs often contain supplementary information, which makes it possible to produce a higher-quality DEM through blending the multi-scale data. Inspired by super-resolution (SR) methods, we propose a regularized framework for the production of high-resolution (HR) DEM data with extended coverage. To deal with the registration error and the horizontal displacement among multi-scale measurements, robust data fidelity with weighted norm is employed to measure the conformance of the reconstructed HR data to the observed data. Furthermore, a slope-based Markov random field (MRF) regularization is used as the spatial regularization. The proposed method can simultaneously handle complex terrain features, noises, and data voids. Using the proposed method, we can reconstruct a seamless DEM data with the highest resolution among the input data, and an extensive spatial coverage. The experiments confirmed the effectiveness of the proposed method under different cases. Numéro de notice : A2015-620 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1063639 En ligne : https://doi.org/10.1080/13658816.2015.1063639 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78089 [article]