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Modelling error propagation in vector-based overlay analysis / Wei Shi in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 1-2 (August 2004 - April 2005)
[article]
Titre : Modelling error propagation in vector-based overlay analysis Type de document : Article/Communication Auteurs : Wei Shi, Auteur ; C.K. Cheung, Auteur ; X. Tong-Tong, Auteur Année de publication : 2004 Article en page(s) : pp 47 - 59 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] données vectorielles
[Termes IGN] erreur de positionnement
[Termes IGN] modèle analytique
[Termes IGN] modélisation
[Termes IGN] noeud
[Termes IGN] polygone
[Termes IGN] propagation d'erreurRésumé : (Auteur) This paper proposes two methods for analyzing error propagation in overlay analysis of vector polygons, an analytical and simulation method. First, for the analytical method, the error is derived based on the error propagation law in statistics. In the second method, error propagation of overlay is simulated based on the positional error of the original polygon vertices, assuming a given error distribution of the vertices. For both methods, several geometrical error measures for the derived polygons are defined: (i) error measures for the perimeter, area and center of gravity of a polygon, and (ii) the error intervals for the polygon vertices. A test is performed to compare the differences between the two methods and their applicability. The results indicate that there is no significant difference in estimating the propagated error between the two methods. However, these two methods are suitable for different cases. The analytical method is applicable when the error ellipse of any intersection point of the original polygons does not intersect with error ellipses of all the vertices of the original polygons, if the intersection point or, in case of disjoint polygon boundaries, the error ellipse of any point on the boundary of one original polygon does not intersect with the error ellipse of any point on the boundary of the other original polygons. On the other hand, the simulation method is more generic, but more time consuming. Copyright ISPRS Numéro de notice : A2004-314 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2004.05.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2004.05.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26841
in ISPRS Journal of photogrammetry and remote sensing > vol 59 n° 1-2 (August 2004 - April 2005) . - pp 47 - 59[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-04031 RAB Revue Centre de documentation En réserve L003 Disponible Review article: geometric processing of remote sensing images: models, algorithms and methods / Thierry Toutin in International Journal of Remote Sensing IJRS, vol 25 n° 10 (May 2004)
[article]
Titre : Review article: geometric processing of remote sensing images: models, algorithms and methods Type de document : Article/Communication Auteurs : Thierry Toutin , Auteur Année de publication : 2004 Article en page(s) : pp 1893 - 1924 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] correction d'image
[Termes IGN] correction géométrique
[Termes IGN] correction radiométrique
[Termes IGN] déformation géométrique
[Termes IGN] image multi sources
[Termes IGN] modèle d'erreur
[Termes IGN] modèle mathématique
[Termes IGN] Ploynôme
[Termes IGN] propagation d'erreurRésumé : (Auteur) The geometric processing of remote sensing images becomes a key issue in multi-source data integration, management and analysis for many geomatic applications. This paper first reviews the source of geometric distortions, compares the different mathematical models being currently used for geometric distortion modelling, details the algorithms, methods and processing steps and finally tracks the error propagation from the input to the final output data. Numéro de notice : A2004-144 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000101611 En ligne : https://doi.org/10.1080/0143116031000101611 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26671
in International Journal of Remote Sensing IJRS > vol 25 n° 10 (May 2004) . - pp 1893 - 1924[article]Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 080-04081 RAB Revue Centre de documentation En réserve L003 Exclu du prêt A probability-based uncertainty model for point-in-polygon analysis in GIS / C.K. Cheung in Geoinformatica, vol 8 n° 1 (March - May 2004)
[article]
Titre : A probability-based uncertainty model for point-in-polygon analysis in GIS Type de document : Article/Communication Auteurs : C.K. Cheung, Auteur ; Wei Shi, Auteur ; X. Zhou, Auteur Année de publication : 2004 Article en page(s) : pp 71 - 98 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] analyse de données
[Termes IGN] incertitude géométrique
[Termes IGN] modèle mathématique
[Termes IGN] noeud
[Termes IGN] point
[Termes IGN] polygone
[Termes IGN] propagation d'erreur
[Termes IGN] système d'information géographiqueRésumé : (Auteur) In a geographical information system (GIS), a conventional point-in-polygon analysis is used to determine whether a point is located inside a polygon with a Boolean result. Due to positional uncertainties existing with both the point and the polygon, the Boolean answer cannot describe the relationship of closeness between the point and the polygon. This paper aims to develop a model and to provide a continuous index - the probability value - to indicate the extent of the uncertain point located inside the uncertain polygon based upon existing research development. This probability index is derived based on probability and statistical theories considering the statistical uncertainty distributions of the point and the polygon's vertices. The associated mathematical expressions for the probability index are addressed in cases depending on the intersection between the polygon and the error ellipse of the point. The proposed probability index can provide an objective description of the relationship of closeness between an uncertain point and an uncertain polygon. Numéro de notice : A2004-013 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1023/B:GEIN.0000007725.41038.03 En ligne : https://doi.org/10.1023/B:GEIN.0000007725.41038.03 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26541
in Geoinformatica > vol 8 n° 1 (March - May 2004) . - pp 71 - 98[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-04011 RAB Revue Centre de documentation En réserve L003 Disponible Path processing and block adjustment with RadarSat-1 SAR images / Thierry Toutin in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)
[article]
Titre : Path processing and block adjustment with RadarSat-1 SAR images Type de document : Article/Communication Auteurs : Thierry Toutin , Auteur Année de publication : 2003 Article en page(s) : pp 2320 - 2328 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] angle de visée
[Termes IGN] compensation par bloc
[Termes IGN] image Radarsat
[Termes IGN] point d'appui
[Termes IGN] propagation d'erreurRésumé : (Auteur) The objectives of this research study was to determine the conditions of experimentation and application of path processing and block adjustment with synthetic aperture radar (SAR) images when few control is available. The path and block processing enabled the simultaneous adjustment of all images together to reduce the control point requirement. The method is based on the tridimensional physical model developed for multisensor images at the Canada Centre for Remote Sensing, Natural Resources processes were applied to 15 RADARSAT-1 SAR fine mode images (five paths by three rows) acquired over the Rocky Mountains, Canada from different look angles (F1 and F4) with a weak intersection geometry (6° angle). The first results of the least squares block adjustment showed that the same errors were obtained with image paths or block (20 m for three-image paths and five-path block) as with a single image (18 m). In addition to ground control points (GCPs), elevation tie points (ETPs), with a known elevation value, were used in the overlaps because the 6' look-angle difference of overlapping paths was small. However when using only GCPs in the outer paths for block adjustments, the error results deteriorated from 25 m in both directions for the three-path block to 270 m in X direction for the five-path block. This deterioration was a combination of the image pointing and cartographic errors of GCPs (25-30 m) and the weak 6° intersection angle. Consequently, GCP distribution every two paths was the solution with this dataset, and better results (35 m) was then achieved using a reduced number of GCPs in the outer paths (25 or even 10 GCPs) and middle path (six GCPs) and 20 ETPs in each overlap. However, the combined image pointing and cartographic errors of GCPs (25-30 m) are included in these 35-m error results, and the internal accuracy of the block should thus be better (around one resolution). Finally, the same minimum requirement of GCPs, as a function of their accuracy and the overlap intersection geometry, can be applied for an image, a path or a block. Numéro de notice : A2003-355 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.814661 En ligne : https://doi.org/10.1109/TGRS.2003.814661 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26435
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 10 (October 2003) . - pp 2320 - 2328[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03101 RAB Revue Centre de documentation En réserve L003 Disponible Modelling error propagation in vector-based buffer analysis / Wei Shi in International journal of geographical information science IJGIS, vol 17 n° 3 (may 2003)
[article]
Titre : Modelling error propagation in vector-based buffer analysis Type de document : Article/Communication Auteurs : Wei Shi, Auteur ; C.K. Cheung, Auteur ; C. Zhu, Auteur Année de publication : 2003 Article en page(s) : pp 251 - 271 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] analyse de données
[Termes IGN] analyse numérique
[Termes IGN] analyse spatiale
[Termes IGN] base de données localisées
[Termes IGN] données vectorielles
[Termes IGN] propagation d'erreur
[Termes IGN] zone tamponRésumé : (Auteur) Error propagation of buffer analysis in a vectorbased geographical information system (GIS) is studied with the use of statistics and numerical analyses. In this paper, such factors as the error of commission, the error of omission, the discrepant area and the normalized discrepant area are proposed as the error indicators of buffer analysis. Analytical expressions for the error indicators are developed as multiple integrals. A numerical integration method is recommended to find an approximation to the analytical expression. Numéro de notice : A2003-045 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/1365881022000016007 En ligne : https://doi.org/10.1080/1365881022000016007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22342
in International journal of geographical information science IJGIS > vol 17 n° 3 (may 2003) . - pp 251 - 271[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-03031 RAB Revue Centre de documentation En réserve L003 Disponible 079-03032 RAB Revue Centre de documentation En réserve L003 Disponible Accuracy prediction for ortho-image generation / Amnon Krupnik in Photogrammetric record, vol 18 n° 101 (March - May 2003)PermalinkAnalyse und Optimierung geodätischer Messanordnungen unter besonderer Berücksichtigung des Intervallansatzes / S. Schön (2003)PermalinkError tracking in Ikonos geometric processing using a 3D parametric model / Thierry Toutin in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 1 (January 2003)PermalinkExperimental evaluation of positional accuracy estimates from linear network using point- and line-based testing methods / T.G. Van Niel in International journal of geographical information science IJGIS, vol 16 n° 5 (july 2002)PermalinkLarge deviation theorems for weighted sums applied to a geographical problem / Olivier Bonin in Journal of Applied Probability, vol 39 n° 2 (01/06/2002)PermalinkAnalyse statistique des données expérimentales / K. Protassov (2002)PermalinkMesoscale meteorological modeling / R.A. Pielke (2002)PermalinkError propagation in environmental modelling with GIS / Gerard B.M. Heuvelink (2000)PermalinkError propagation modeling in raster GIS: adding and ratioing operations / Guiseppe Arbia in Cartography and Geographic Information Science, vol 26 n° 4 (October 1999)PermalinkDeveloping error handling software for object-oriented geographical information / Matt Duckham (1999)PermalinkLe mouvement orbital des satellites et l'observation de la Terre / Pierre Exertier (1999)PermalinkStatistical analysis of two 3-D registration and modeling strategies / O. Jokinen in ISPRS Journal of photogrammetry and remote sensing, vol 53 n° 6 (November - December 1998)PermalinkData quality in geographic information / Robert Jeansoulin (1998)PermalinkPrinciples of Geographical Information Systems / Peter A. Burrough (1998)PermalinkThe curvilinear datum transformation / Francis Ifeanyi Okeke (1998)PermalinkMéthodes d'estimation robuste de paramètres alternatives aux moindres carrés : problématique statistique et résolution par calcul parallèle / Mireille Ludivine Bougeard (1997)PermalinkModèles statistiques des imprécisions géométriques des objets géographiques linéaires / François Vauglin (1997)PermalinkModélisation des imprécisions géométriques dans les bases de données géographiques : propagations / Benoit Ravel (1996)PermalinkUnsichere topologische Beziehungen zwischen ungenauen Flächen / Stephan Winter (1996)PermalinkError propagation in GPS networks / L.W. Baran (1995)Permalink