Photogrammetric Engineering & Remote Sensing, PERS / American society for photogrammetry and remote sensing . vol 73 n° 12Paru le : 01/12/2007 ISBN/ISSN/EAN : 0099-1112 |
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Ajouter le résultat dans votre panierGeometric accuracy assessment of QuickBird basic imagery using different operational approaches / M. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 12 (December 2007)
[article]
Titre : Geometric accuracy assessment of QuickBird basic imagery using different operational approaches Type de document : Article/Communication Auteurs : M. Aguilar, Auteur ; F. Aguilar, Auteur ; F. Aguera, Auteur ; Jaime Sanchez, Auteur Année de publication : 2007 Article en page(s) : pp 1321 - 1332 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse comparative
[Termes IGN] correction géométrique
[Termes IGN] données localisées 3D
[Termes IGN] erreur moyenne quadratique
[Termes IGN] image à très haute résolution
[Termes IGN] image Quickbird
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] modèle physique
[Termes IGN] orientation du capteur
[Termes IGN] orthoimage
[Termes IGN] point d'appui
[Termes IGN] précision géométrique (imagerie)Résumé : (Auteur) The new very high-resolution space satellite images, such as QuickBird and Ikonos, open new possibilities in cartographic applications. This work has as its main aim the assessment of a methodology to achieve the best possible geometric accuracy in orthorectified imagery products obtained from QuickBird basic imagery which will include an assessment of the methodology’s reliability. Root Mean Square Error (RMSE), mean error or bias, and maximum error in 79 independent check points are computed and utilized as accuracy indicators. The ancillary data were generated by high accuracy methods: (a) check and control points were measured with a differential global positioning system, and (b) a dense digital elevation model (DEM) with grid spacing of 2 m and RMSEz of about 0.31 m generated from a photogrammetric aerial flight at an approximate scale of 1:5000 that was used for image orthorectification. Two other DEMs with a grid spacing of 5 m (RMSEz = 1.75 m) and 20 m (RMSEz = 5.82 m) were also used. Four 3D geometric correction models were used to correct the satellite data: two terrain-independent rational function models refined by the user, a terrain-dependent model, and a rigorous physical model. The number and distribution of the ground control points (GCPs) used for the sensor orientation were studied as well, testing from 9 to 45 GCPs. The best results obtained about the geometric accuracy of the orthorectified images (two dimensional RMSE of about 0.74 m) were computed when the dense DEM was used with the 3D physical and terrain-dependent models. The use of more than 18 GCPs does not improve the results when those GCPs are extracted by stratified random sampling. Copyright ASPRS Numéro de notice : A2007-541 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.12.1321 En ligne : http://dx.doi.org/10.14358/PERS.73.12.1321 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28904
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 12 (December 2007) . - pp 1321 - 1332[article]A theoretical approach to modeling the accuracy assessment of digital elevation models / F. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 12 (December 2007)
[article]
Titre : A theoretical approach to modeling the accuracy assessment of digital elevation models Type de document : Article/Communication Auteurs : F. Aguilar, Auteur ; F. Aguera, Auteur ; M. Aguilar, Auteur Année de publication : 2007 Article en page(s) : pp 1367 - 1379 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] erreur moyenne quadratique
[Termes IGN] fiabilité des données
[Termes IGN] fonction de base radiale
[Termes IGN] interpolation inversement proportionnelle à la distance
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] modèle numérique de surface
[Termes IGN] précision des données
[Termes IGN] résiduRésumé : (Auteur) In this paper, a theoretical analysis is presented of the degree of correctness to which the accuracy figures of a grid Digital Elevation Model (DEM) have been estimated, measured as Root Mean Square Error (RMSE) depending on the number of checkpoints used in the accuracy assessment process. The latter concept is sometimes referred to as the Reliability of the DEM accuracy tests. Two theoretical models have been developed for estimating the reliability of the DEM accuracy figures using the number of checkpoints and parameters related to the statistical distribution of residuals (mean, variance, skewness, and standardized kurtosis). A general case was considered in which residuals might be weakly correlated (local spatial autocorrelation) with non-zero mean and non-normal distribution. Thus, we avoided the “strong assumption” of distribution normality accepted in some of the previous works and in the majority of the current standards of positional accuracy control methods. Sampled data were collected using digital photogrammetric methods applied to large scale stereo imagery (1:5 000). In this way, seven morphologies were sampled with a 2 m by 2 m sampling interval, ranging from flat (3 percent average slope) to the highly rugged terrain of marble quarries (82 percent average slope). Two local schemes of interpolation have been employed, using Multiquadric Radial Basis Functions (MRBF) and Inverse Distance Weighted (IDW) interpolators, to generate interpolated surfaces from high-resolution grid DEMs. The theoretical results obtained were experimentally validated using the Monte Carlo simulation method. The proposed models provided a good fit for the raw simulated data for the seven morphologies and the two schemes of interpolation tested (r2 > 0.96 as mean value). The proposed theoretical models performed very well for modeling the non-gaussian distribution of the errors at the checkpoints, a property which is very common in geographically distributed data. Copyright ASPRS Numéro de notice : A2007-542 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.12.1367 En ligne : https://doi.org/10.14358/PERS.73.12.1367 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28905
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 12 (December 2007) . - pp 1367 - 1379[article]Seasonal sensitivity analysis of impervious surface estimation with satellite imagery / C. Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 12 (December 2007)
[article]
Titre : Seasonal sensitivity analysis of impervious surface estimation with satellite imagery Type de document : Article/Communication Auteurs : C. Wu, Auteur ; F. Yuan, Auteur Année de publication : 2007 Article en page(s) : pp 1393 - 1401 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse de sensibilité
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] Ohio (Etats-Unis)
[Termes IGN] régression
[Termes IGN] surface imperméable
[Termes IGN] variation saisonnièreRésumé : (Auteur) Numerous approaches have been developed to quantify the distribution of impervious surfaces using remote sensing technologies. Most of these approaches have been applied to data from a single time period, typically in the summer season (June to September). Presently, it is not clear whether there is an optimal time for impervious surface estimation with these methods. In this paper, the seasonal sensitivity of impervious surface estimation is examined. In particular, Landsat TM/ETM+ imagery for four different seasons has been acquired for the environs of Franklin County, Ohio. Two impervious surface estimation methods, spectral mixture analysis and regression modeling, are used to test for seasonal variations. Results indicate that the summer image provides better accuracy with the spectral mixture analysis method, while consistent accuracies are obtained for all four seasons with regression modeling. Copyright ASPRS Numéro de notice : A2007-543 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.12.1393 En ligne : https://doi.org/10.14358/PERS.73.12.1393 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28906
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 12 (December 2007) . - pp 1393 - 1401[article]Designing and implementing software components for an automated mapping system / J.H. Yom in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 12 (December 2007)
[article]
Titre : Designing and implementing software components for an automated mapping system Type de document : Article/Communication Auteurs : J.H. Yom, Auteur ; Jane E. Drummond, Auteur Année de publication : 2007 Article en page(s) : pp 1417 - 1424 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie numérique
[Termes IGN] acquisition d'images
[Termes IGN] composant SIG
[Termes IGN] conception orientée objet
[Termes IGN] extraction automatique
[Termes IGN] géoréférencement
[Termes IGN] logiciel de cartographie
[Termes IGN] programmation adaptée à l'objet
[Termes IGN] UML
[Termes IGN] visualisation de donnéesRésumé : (Auteur) This paper summarises a research project that examined the usefulness of Object-oriented Programming (OOP) and the Unified Modelling Language (UML) in producing welldesigned software. This leads to the cost effective implementation of new automated mapping tools as and when they emerge. In this project, software for an automated mapping system was designed, implemented and successfully tested. The system consists of the following subsystems: (a) image acquisition, (b) positioning, (c) image point referencing, (d) spatial object extraction, and, (e) visualization. This paper addresses parts of this work (the first three subsystems) in order to demonstrate the flexibility of this approach to software design. Copyright ASPRS Numéro de notice : A2007-544 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.14358/PERS.73.12.1417 En ligne : https://doi.org/10.14358/PERS.73.12.1417 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28907
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 12 (December 2007) . - pp 1417 - 1424[article]