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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]Polarimetric and interferometric SAR image partition into statistically homogeneous regions based on the minimization of the stochastic complexity / J. Morio in IEEE Transactions on geoscience and remote sensing, vol 45 n° 11 Tome 2 (November 2007)
[article]
Titre : Polarimetric and interferometric SAR image partition into statistically homogeneous regions based on the minimization of the stochastic complexity Type de document : Article/Communication Auteurs : J. Morio, Auteur ; F. Goudail, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 3599 - 3609 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse de données
[Termes IGN] image radar moirée
[Termes IGN] partition d'image
[Termes IGN] polarimétrie radar
[Termes IGN] processus stochastique
[Termes IGN] segmentation d'image
[Termes IGN] zone homogèneRésumé : (Auteur) In this paper, we show that polarimetric and inter-ferometric SAR (PolInSAR) images can be efficiently partitioned into homogeneous regions with a statistical technique based on minimization of a parameter-free criterion. This technique consists of finding a polygonal partition of the image that minimizes the stochastic complexity, assuming that the image is made of a tessellation of statistically homogeneous regions. The obtained results demonstrate that a global partition in statistically homogeneous regions of PolinSAR images can provide better results than a partition based on a single characteristic such as polarimetry or interferometry only. Copyright IEEE Numéro de notice : A2007-507 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2007.903689 En ligne : https://doi.org/10.1109/TGRS.2007.903689 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28870
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 11 Tome 2 (November 2007) . - pp 3599 - 3609[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-07111B RAB Revue Centre de documentation En réserve L003 Disponible Bright-band detection from radar vertical reflectivity profiles / M.A. Rico-Ramirez in International Journal of Remote Sensing IJRS, vol 28 n°17-18 (September 2007)
[article]
Titre : Bright-band detection from radar vertical reflectivity profiles Type de document : Article/Communication Auteurs : M.A. Rico-Ramirez, Auteur ; I.D. Cluckie, Auteur Année de publication : 2007 Article en page(s) : pp 4013 - 4025 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande spectrale
[Termes IGN] estimation statistique
[Termes IGN] hydrologie
[Termes IGN] image radar
[Termes IGN] luminance lumineuse
[Termes IGN] précipitation
[Termes IGN] réflectance directionnelle
[Termes IGN] réflectivitéRésumé : (Auteur) The use of quantitative scanning weather radar for precipitation measurements is a vital element of modern hydrology and limits the development of all distributed models of catchment behaviour. The presence of the so-called bright band (or melting layer) contaminates the quantitative precipitation estimates and has delayed the widespread take-up of radar-based precipitation estimates in operational models. The study of the Vertical Reflectivity Profile (VRP) of precipitation is important in order to develop algorithms to correct scanning weather radar measurements for the variation of the VRP at long ranges. Therefore, this paper presents an algorithm to detect the extent of the bright band using high-resolution VRP's. The boundaries of the bright band are identified by a new algorithm which utilizes a rotational coordinate system for identifying the upper and lower parts of the bright band. This overcomes some of the difficulties experienced when using the gradient of the reflectivity in conventional bright-band detection algorithms. The reflectivities above, within, and below the bright band are then used to construct idealized VRP's to correct scanning weather radar measurements. Copyright Taylor & Francis Numéro de notice : A2007-405 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160601047797 En ligne : https://doi.org/10.1080/01431160601047797 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28768
in International Journal of Remote Sensing IJRS > vol 28 n°17-18 (September 2007) . - pp 4013 - 4025[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-07101 RAB Revue Centre de documentation En réserve L003 Disponible Estimation et inférence du coefficient d'autorégression du modèle de Whittle sur un réseau d'interactions aléatoires faibles / D. Carillo in Revue internationale de géomatique, vol 17 n° 3-4 (septembre 2007 – février 2008)
[article]
Titre : Estimation et inférence du coefficient d'autorégression du modèle de Whittle sur un réseau d'interactions aléatoires faibles Type de document : Article/Communication Auteurs : D. Carillo, Auteur Année de publication : 2007 Conférence : SAGEO 2006, Spatial Analysis and GEOmatics, Colloque International de Géomatique et d'Analyse Spatiale 11/09/2006 13/09/2006 Strasbourg France Article en page(s) : pp 261 - 275 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] auto-régression
[Termes IGN] estimation statistique
[Termes IGN] inférence statistique
[Termes IGN] interaction spatiale
[Termes IGN] matrice d'information de Fischer
[Termes IGN] méthode du maximum de vraisemblance (estimation)Résumé : (Auteur) Nous traitons d'un champ spatial autorégressif simultané d'ordre 1 (modèle de Whittle) composé de variables en interaction selon une géométrie de réseau carré. Nous considérons le cas où le coefficient d'autorégression du modèle spatial est inconnu et chaque interaction se produit avec une probabilité 1 ¡ p entre variables plus proches voisines dans l'espace. Nous étudions l'impact de la connectivité du champ (due aux interactions) sur l'inférence statistique et l'estimation ponctuelle du coefficient d'autoregression, en fonction de p et au travers des concepts suivants : l'estimation de maximum de vraisemblance, l'information de Fisher (et la divergence de Kullback-Leibler) et la puissance du test du I de Moran. Copyright Lavoisier Numéro de notice : A2007-591 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3166/geo.17.261-275 En ligne : https://doi.org/10.3166/geo.17.261-275 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28954
in Revue internationale de géomatique > vol 17 n° 3-4 (septembre 2007 – février 2008) . - pp 261 - 275[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 047-07031 RAB Revue Centre de documentation En réserve L003 Disponible 047-07032 RAB Revue Centre de documentation En réserve L003 Disponible Estimation of vegetation parameter for modelling soil erosion using linear spectral mixture analysis of Landsat ETM data / A.M. DE Asis in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 4 (September 2007)
[article]
Titre : Estimation of vegetation parameter for modelling soil erosion using linear spectral mixture analysis of Landsat ETM data Type de document : Article/Communication Auteurs : A.M. DE Asis, Auteur ; K. Omasa, Auteur Année de publication : 2007 Article en page(s) : pp 309 - 324 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] classification pixellaire
[Termes IGN] couvert végétal
[Termes IGN] données de terrain
[Termes IGN] érosion
[Termes IGN] estimation statistique
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Quickbird
[Termes IGN] modèle physique
[Termes IGN] modèle RUSLERésumé : (Auteur) Soil conservation planning often requires estimates of soil erosion at a catchment or regional scale. Predictive models such as Universal Soil Loss Equation (USLE) and its subsequent Revised Universal Soil Loss Equation (RUSLE) are useful tools to generate the quantitative estimates necessary for designing sound conservation measures. However, large-scale soil erosion model-factor parameterization and quantification is difficult due to the costs, labor and time involved. Among the soil erosion parameters, the vegetative cover or C factor has been one of the most difficult to estimate over broad geographic areas. The C factor represents the effects of vegetation canopy and ground covers in reducing soil loss. Traditional methods for the extraction of vegetation information from remote sensing data such as classification techniques and vegetation indices were found to be inaccurate. Thus, this study presents a new approach based on Spectral Mixture Analysis (SMA) of Landsat ETM data to map the C factor for use in the modeling of soil erosion. A desirable feature of SMA is that it estimates the fractional abundance of ground cover and bare soils simultaneously, which is appropriate for soil erosion analysis. Hence, we estimated the C factor by utilizing the results of SMA on a pixel-by-pixel basis. We specifically used a linear SMA (LSMA) model and performed a minimum noise fraction (MNF) transformation and pixel purity index (PPI) on Landsat ETM image to derive the proportion of ground cover (vegetation and non-photosynthetic materials) and bare soil within a pixel. The end-members were selected based on the purest pixels found using PPI with reference to very high-resolution QuickBird image and actual field data. Results showed that the C factor value estimated using LSMA correlated strongly with the values measured in the field. The correlation coefficient (r) obtained was 0.94. A comparative analysis between NDVI- and LSMA-derived C factors also proved that the latter produced a more detailed spatial variability, as well as generated more accurate erosion estimates when used as input to RUSLE model. The QuickBird image coupled with field data was used in the validation of results. Copyright ISPRS Numéro de notice : A2007-430 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.05.013 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.05.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28793
in ISPRS Journal of photogrammetry and remote sensing > vol 62 n° 4 (September 2007) . - pp 309 - 324[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-07061 SL Revue Centre de documentation Revues en salle Disponible Least-squares prediction in linear models with integer unknowns / Peter J.G. Teunissen in Journal of geodesy, vol 81 n° 9 (September 2007)PermalinkSpatio-temporal urban landscape change analysis using the Markov chain model and a modified genetic algorithm / J. Tang in International Journal of Remote Sensing IJRS, vol 28 n°15-16 (August 2007)PermalinkAccuracy assessment of digital elevation models using a non-parametric approach / F. Aguilar in International journal of geographical information science IJGIS, vol 21 n° 6-7 (july 2007)PermalinkSpatial aspects of MRSA epidemiology: a case study using stochastic simulation, kernel estimation and SaTScan / Lucy Bastin in International journal of geographical information science IJGIS, vol 21 n° 6-7 (july 2007)PermalinkUse of TRMM in determining the climatic characteristics of rainfall over Bangladesh / M.N. Islam in Remote sensing of environment, vol 108 n° 3 (15/06/2007)PermalinkÉvaluer les choix d'itinéraires pédestres en milieu urbain / A. Piombini in Revue internationale de géomatique, vol 17 n° 2 (juin – août 2007)PermalinkInfluence of ambiguity precision on the success rate of GNSS integer ambiguity bootstrapping / Peter J.G. Teunissen in Journal of geodesy, vol 81 n° 5 (May 2007)PermalinkInteractive visualization of uncertain spatial and spatio-temporal data under different scenarios: an air quality example / Edzer J. Pebesma in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)PermalinkModelling landscape dynamics with Python / D. Karssenberg in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)PermalinkA probabilistic framework for representing and simulating uncertain environmental variables / Gerard B.M. Heuvelink in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)Permalink