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An effective toolkit for the interpolation and gross error detection of GPS time series / X. Wang in Survey review, vol 48 n° 348 (May 2016)  

Public [article]  inSurvey review > vol 48 n° 348 (May 2016) . - pp 202 - 211 Titre : An effective toolkit for the interpolation and gross error detection of GPS time series Type de document : Article/Communication Auteurs : X. Wang, Auteur ; Y. Cheng, Auteur ; S. Wu, Auteur ; K. Zhang, Auteur Année de publication : 2016 Article en page(s) : pp 202 - 211 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse de spectre singulier [Termes IGN] coordonnées GPS [Termes IGN] détection d'erreur [Termes IGN] interpolation [Termes IGN] modèle de simulation [Termes IGN] série temporelle [Vedettes matières IGN] Traitement de données GNSS Résumé : (auteur) As data gaps and gross errors inevitably exist in GPS time series, robust detection and interpolation procedures are needed to obtain a uniform time series for various geospatial studies and applications. The use of traditional methods for this purpose is usually based on some improper assumptions, which are not derived based on the real properties of the data. Moreover, different interpolation methods may need to be investigated for interpolation for various gaps with different types and amount of missing data. These make the interpolation for missing data not easy. To address the issue of mentioned above, in this study, a data-analysis method named singular spectrum analysis (SSA) for missing data is assessed for reconstructing a reliable model from unevenly sampled time series without the need for any a priori knowledge of the time series data. In this method, the interpolation and detection of gross errors are carried out in one go along with the reliable reconstructed model. Both simulation data and real GPS data testing results showed that this was an efficient method for interpolation and gross error detection. Numéro de notice : A2016-276 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1179/1752270615Y.0000000023 En ligne : http://doi.org/10.1179/1752270615Y.0000000023 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80830 [article]

Modeling image motion in airborne Three-Line-Array (TLA) push-broom cameras / G. Jia in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 1 (January 2013)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 1 (January 2013) . - pp 67 - 78 Titre : Modeling image motion in airborne Three-Line-Array (TLA) push-broom cameras Type de document : Article/Communication Auteurs : G. Jia, Auteur ; X. Wang, Auteur ; H. Wei, Auteur ; Z. Zhang, Auteur Année de publication : 2013 Article en page(s) : pp 67 - 78 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] caméra numérique [Termes IGN] capteur en peigne [Termes IGN] image aérienne [Termes IGN] instabilité du vecteur (télédétection) [Termes IGN] modèle géométrique de prise de vue [Termes IGN] vitesse Résumé : (Auteur) This paper presents an image motion model for airborne three-line-array (TLA) push-broom cameras. Both aircraft velocity and attitude instability are taken into account in modeling image motion. Effects of aircraft pitch, roll, and yaw on image motion are analyzed based on geometric relations in designated coordinate systems. The image motion is mathematically modeled by image motion velocity multiplied by exposure time. Quantitative analysis to image motion velocity is then conducted in simulation experiments. The results have shown that image motion caused by aircraft velocity is space invariant while image motion caused by aircraft attitude instability is more complicated. Pitch, roll, and yaw all contribute to image motion to different extents. Pitch dominates the along-track image motion and both roll and yaw greatly contribute to the cross-track image motion. These results provide a valuable base for image motion compensation to ensure high accuracy imagery in aerial photogrammetry. Numéro de notice : A2013-006 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.1.67 En ligne : https://doi.org/10.14358/PERS.79.1.67 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32144 [article]

IconMap-based visualisation technique and its application in soil fertility analysis / X. Zhang in Cartographic journal (the), vol 49 n° 3 (August 2012)  

Public [article]  inCartographic journal (the) > vol 49 n° 3 (August 2012) . - pp 208 - 217 Titre : IconMap-based visualisation technique and its application in soil fertility analysis Type de document : Article/Communication Auteurs : X. Zhang, Auteur ; X. Wang, Auteur ; J. Li, Auteur ; M. Pazner, Auteur Année de publication : 2012 Article en page(s) : pp 208 - 217 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] analyse multivariée [Termes IGN] données localisées [Termes IGN] données maillées [Termes IGN] fertilité [Termes IGN] Setchouan (Chine) [Termes IGN] sol [Termes IGN] visualisation de données Résumé : (Auteur) With the development of geographic information science and the progress in the research of scientific visualisation, the visualisation of multivariate geospatial data has attracted much attention. This paper discusses an IconMap-based visualisation technique that enables multiple geospatial variables be represented in a single raster layer. This is achieved by extending the conventional pixel-based image structure to the three-tiered iconic design. Thereby the spatial pattern generated by the interaction between multivariate geographic variables can be disclosed, and the goal of geospatial data mining is achieved. A visualisation case study on soil organic matter and nutrients for the Shuangliu County of Chengdu City, China, was performed using the proposed approach. The result shows that the static IconMap can better display the distribution tendency of the high-end and low-end soil organic matter and nutrients, and that the dynamic IconMap can both reflect the interaction between the organic matter and the nutrients variables, and display the soil fertility levels in a comprehensive way. Thus, the IconMap-based visualisation approach is a non-fused, exploratory analytical approach for multivariate data and valuable for visually analyse the soil fertility condition. Numéro de notice : A2012-536 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/1743277412Y.0000000016 Date de publication en ligne : 22/11/2013 En ligne : https://doi.org/10.1179/1743277412Y.0000000016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31982 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
030-2012031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Challenged positions: Dynamic sensor network, distributed GPS aperture, and inter-nodal ranging signals / Dorota A. Grejner-Brzezinska in GPS world, vol 21 n° 9 (September 2010)

Public [article]  inGPS world > vol 21 n° 9 (September 2010) . - pp 35 - 42 Titre : Challenged positions: Dynamic sensor network, distributed GPS aperture, and inter-nodal ranging signals Type de document : Article/Communication Auteurs : Dorota A. Grejner-Brzezinska, Auteur ; Charles K. Toth, Auteur ; Inder Jeet Gupta, Auteur ; L. Li, Auteur ; X. Wang, Auteur Année de publication : 2010 Article en page(s) : pp 35 - 42 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement [Termes IGN] GPS assisté pour la navigation (technologies) [Termes IGN] onde radioélectrique [Termes IGN] positionnement par GPS [Termes IGN] radiofréquence [Termes IGN] réseau local sans fil Résumé : (Editeur) A performance assessment demonstrates the ability of a networked group of users to locate themselves and each other, navigate, and operate under adverse conditions in which an individual user would be impaired. The technique for robust GPS positioning in a dynamic sensor network uses a distributed GPS aperture and RF ranging signals among the network nodes. Numéro de notice : A2010-374 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30568 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
067-2010091	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Using clustering methods in geospatial information systems / X. Wang in Geomatica, vol 64 n° 3 (September 2010)  

Public [article]  inGeomatica > vol 64 n° 3 (September 2010) . - pp 347 - 361 Titre : Using clustering methods in geospatial information systems Type de document : Article/Communication Auteurs : X. Wang, Auteur ; Jing Wang, Auteur Année de publication : 2010 Article en page(s) : pp 347 - 361 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse de groupement [Termes IGN] analyse spatiale [Termes IGN] attribut sémantique [Termes IGN] distance euclidienne [Termes IGN] exploration de données géographiques [Termes IGN] modèle conceptuel de données localisées [Termes IGN] regroupement de données [Termes IGN] système d'information géographique [Termes IGN] test de performance Résumé : (Auteur) Spatial clustering is the process of grouping similar objects based on their distance, connectivity, or rel-ative density in space. It has been employed in the field of spatial analysis for years. In order to select the prop-er spatial clustering methods for geospatial information systems, we need to consider the characteristics of different clustering methods, relative to the objectives that we are trying to achieve. In this paper, we give a detailed discussion of different types of clustering methods from a data mining perspective. Analysis of the advantages and limitations of some classical clustering methods are given. Subsequently we discuss applying spatial clustering methods as part of geospatial information systems, with respect to distance functions, data models, non-spatial attributes and performance. Numéro de notice : A2010-529 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.5623/geomat-2010-0035 En ligne : https://doi.org/10.5623/geomat-2010-0035 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30721 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
035-2010031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Automated extraction of buildings from Ikonos imagery by integrating spectral and spatial information / X. Wang in Geomatica, vol 63 n° 3 (September 2009)  

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Population landscape: a geometric approach to studying spatial patterns of the US urban hierarchy / L. Mu in International journal of geographical information science IJGIS, vol 20 n° 6 (july 2006)  

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Planimetric accuracy of Ikonos 1m panchromatic orthoimage products and their utility for local government GIS basemap applications / C.H. Davis in International Journal of Remote Sensing IJRS, vol 24 n° 22 (November 2003)  

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Modeling and estimation of the spatial variation of elevation error in high resolution DEM from stereo-image processing / C.H. Davis in IEEE Transactions on geoscience and remote sensing, vol 39 n° 11 (November 2001)  

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Separate adjustment in close-range photogrammetry / X. Wang in ISPRS Journal of photogrammetry and remote sensing, vol 55 n° 5-6 (March - June 2001)  

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The principal point and CCD cameras / T.A. Clarke in Photogrammetric record, vol 16 n° 92 (October 1998 - March 1999)  

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