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Formulation of distortion error for the line-of-sight (LOS) vector adjustment model and its role in restitution of SPOT imagery / Hyung-Sup Jung in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 6 (November - December 2008)
[article]
Titre : Formulation of distortion error for the line-of-sight (LOS) vector adjustment model and its role in restitution of SPOT imagery Type de document : Article/Communication Auteurs : Hyung-Sup Jung, Auteur ; J.S. Won, Auteur Année de publication : 2008 Article en page(s) : pp 610 - 620 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse comparative
[Termes IGN] capteur en peigne
[Termes IGN] erreur moyenne quadratique
[Termes IGN] image SPOT 5
[Termes IGN] ligne de visée
[Termes IGN] modèle d'erreur
[Termes IGN] orbite
[Termes IGN] orbite préciseRésumé : (Auteur) A recently developed line-of-sight (LOS) vector adjustment model is an effective geopositioning method for pushbroom images. A requirement for this method is that a predicted orbit be close to a true orbit. Although the method has proven very effective for SPOT 5, which has an accurate orbital control system, it was an open question whether or not the method could be effective for a satellite system with poor orbital accuracy. In this paper, a distortion error is defined and formulated as a common criterion for testing orbital requirements of a pushbroom system from the perspective of the LOS vector adjustment model. Using the distortion error, it is shown that a satellite system, even with poor locational accuracy comparable to SPOT 3–4, meets the orbital requirements as long as the maximum topographic height in the landscape is less than 4 km against the height level of the control points. A test was performed using three SPOT images and only five ground control points (GCPs). Results indicated that the root mean squared errors (RMSEs) of horizontal residual errors calculated from 30 check points were less than 10 m. The achieved accuracy of three-dimensional object-point determination was 6 m in the X-dimension and 7 m in both Y- and Z-dimensions. The conclusion can be drawn that the orbital requirements of this method can accommodate most space-borne systems, and therefore the LOS vector adjustment model is effective for SPOT and comparable pushbroom imagery. Copyright ISPRS Numéro de notice : A2008-434 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.03.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.03.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29503
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 6 (November - December 2008) . - pp 610 - 620[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-08061 SL Revue Centre de documentation Revues en salle Disponible Using texture analysis to improve per-pixel classification of very high resolution images for mapping plastic greenhouses / F. Aguera in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 6 (November - December 2008)
[article]
Titre : Using texture analysis to improve per-pixel classification of very high resolution images for mapping plastic greenhouses Type de document : Article/Communication Auteurs : F. Aguera, Auteur ; F. Aguilar, Auteur ; M. Aguilar, Auteur Année de publication : 2008 Article en page(s) : pp 635 - 646 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] agriculture
[Termes IGN] analyse comparative
[Termes IGN] carte thématique
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] image à très haute résolution
[Termes IGN] image Ikonos
[Termes IGN] image infrarouge couleur
[Termes IGN] image multibande
[Termes IGN] image Quickbird
[Termes IGN] image RVB
[Termes IGN] occupation du sol
[Termes IGN] précision de la classification
[Termes IGN] texture d'imageRésumé : (Auteur) The area occupied by plastic-covered greenhouses has undergone rapid growth in recent years, currently exceeding 500,000 ha worldwide. Due to the vast amount of input (water, fertilisers, fuel, etc.) required, and output of different agricultural wastes (vegetable, plastic, chemical, etc.), the environmental impact of this type of production system can be serious if not accompanied by sound and sustainable territorial planning. For this, the new generation of satellites which provide very high resolution imagery, such as QuickBird and IKONOS can be useful. In this study, one QuickBird and one IKONOS satellite image have been used to cover the same area under similar circumstances. The aim of this work was an exhaustive comparison of QuickBird vs. IKONOS images in land-cover detection. In terms of plastic greenhouse mapping, comparative tests were designed and implemented, each with separate objectives. Firstly, the Maximum Likelihood Classification (MLC) was applied using five different approaches combining R, G, B, NIR, and panchromatic bands. The combinations of the bands used, significantly influenced some of the indexes used to classify quality in this work. Furthermore, the quality classification of the QuickBird image was higher in all cases than that of the IKONOS image. Secondly, texture features derived from the panchromatic images at different window sizes and with different grey levels were added as a fifth band to the R, G, B, NIR images to carry out the MLC. The inclusion of texture information in the classification did not improve the classification quality. For classifications with texture information, the best accuracies were found in both images for mean and angular second moment texture parameters. The optimum window size in these texture parameters was 3*3 for IK images, while for QB images it depended on the quality index studied, but the optimum window size was around 15*15. With regard to the grey level, the optimum was 128. Thus, the optimum texture parameter depended on the main objective of the image classification. If the main classification goal is to minimize the number of pixels wrongly classified, the mean texture parameter should be used, whereas if the main classification goal is to minimize the unclassified pixels the angular second moment texture parameter should be used. On the whole, both QuickBird and IKONOS images offered promising results in classifying plastic greenhouses. Copyright ISPRS Numéro de notice : A2008-436 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.03.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.03.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29505
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 6 (November - December 2008) . - pp 635 - 646[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-08061 SL Revue Centre de documentation Revues en salle Disponible An assessment of the effects of cell size on AGNPS modeling of watershed runoff / S.S. Wu in Cartography and Geographic Information Science, vol 35 n° 4 (October 2008)
[article]
Titre : An assessment of the effects of cell size on AGNPS modeling of watershed runoff Type de document : Article/Communication Auteurs : S.S. Wu, Auteur ; E. Lynn Usery, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 265 - 278 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] agriculture
[Termes IGN] analyse comparative
[Termes IGN] analyse de données
[Termes IGN] analyse de groupement
[Termes IGN] bassin hydrographique
[Termes IGN] modélisation spatiale
[Termes IGN] ruissellementRésumé : (Auteur) This study investigates the changes in simulated watershed runoff from the Agricultural NonPoint Source (AGNPS) pollution model as a function of model input cell size resolution for eight different cell sizes (30 m, 60 m, 120 m, 210 m, 240 m, 480 m, 960 m, and 1920 m) for the Little River Watershed (Georgia, USA). Overland cell runoff (area-weighted cell runoff), total runoff volume, clustering statistics, and hot spot patterns were examined for the different cell sizes and trends identified. Total runoff volumes decreased with increasing cell size. Using data sets of 210-m cell size or smaller in conjunction with a representative watershed boundary allows one to model the runoff volumes within 0.2 percent accuracy. The runoff clustering statistics decrease with increasing cell size; a cell size of 960 m or smaller is necessary to indicate significant high-runoff clustering. Runoff hot spot areas have a decreasing trend with increasing cell size; a cell size of 240 m or smaller is required to detect important hot spots. Conclusions regarding cell size effects on runoff estimation cannot be applied to local watershed areas due to the inconsistent changes of runoff volume with cell size; but, optimal cells sizes for clustering and hot spot analyses are applicable to local watershed areas due to the consistent trends. Copyright CaGISociety Numéro de notice : A2008-439 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1559/152304008786140542 En ligne : https://doi.org/10.1559/152304008786140542 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29508
in Cartography and Geographic Information Science > vol 35 n° 4 (October 2008) . - pp 265 - 278[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-08041 RAB Revue Centre de documentation En réserve L003 Disponible Choix optimal du modèle troposphérique pour la détermination précise des coordonnées des stations GPS / Salem Kahlouche in Bulletin des sciences géographiques, n° 22 (octobre 2008)
[article]
Titre : Choix optimal du modèle troposphérique pour la détermination précise des coordonnées des stations GPS Type de document : Article/Communication Auteurs : Salem Kahlouche, Auteur ; Said Touam, Auteur ; H. Dekkiche, Auteur Année de publication : 2008 Article en page(s) : pp 7 - 11 Note générale : Bibliographie Langues : Français (fre) Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] analyse comparative
[Termes IGN] Bernese
[Termes IGN] coordonnées géographiques
[Termes IGN] ligne de base
[Termes IGN] modèle atmosphérique
[Termes IGN] propagation troposphérique
[Termes IGN] réfraction atmosphérique
[Termes IGN] station GPS
[Termes IGN] traitement de données GNSSRésumé : (Auteur) Le thème développé à travers cet article porte sur l'étude comparative des différents modèles troposphériques pour des applications géodésiques. Le but est de définir une méthodologie permettant de déterminer, en fonction de la longueur des bases observées, le modèle troposphérique optimal à appliquer à l'analyse des mesures GPS. Les données GPS utilisées lors du traitement comportent trois lignes de base de différentes longueurs, à savoir "Oan-Murdjadjo", "Alger-Tamanraset" et Alger-Madrid". Le traitement des observations GPS a été effectué avec le logiciel scientifique de l'université de Berne "Bernèse GPS software version 4.2". Copyright INCT Numéro de notice : A2008-540 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29610
in Bulletin des sciences géographiques > n° 22 (octobre 2008) . - pp 7 - 11[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 253-08021 RAB Revue Centre de documentation En réserve L003 Disponible Subpixel urban land cover estimation: comparing cubist, random forests, and support vector regression / J. Walton in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 10 (October 2008)
[article]
Titre : Subpixel urban land cover estimation: comparing cubist, random forests, and support vector regression Type de document : Article/Communication Auteurs : J. Walton, Auteur Année de publication : 2008 Article en page(s) : pp 1213 - 1222 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] image Landsat-ETM+
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] régression
[Termes IGN] séparateur à vaste marge
[Termes IGN] surface imperméableRésumé : (Auteur) Three machine learning subpixel estimation methods (Cubist, Random Forests, and support vector regression) were applied to estimate urban cover. Urban forest canopy cover and impervious surface cover were estimated from Landsat-7 ETM+ imagery using a higher resolution cover map resampled to 30 m as training and reference data. Three different band combinations (reflectance, tasseled cap, and both reflectance and tasseled cap plus thermal) were compared for their effectiveness with each of the methods. Thirty different training site number and size combinations were also tested. Support vector regression on the tasseled cap bands was found to be the best estimator for urban forest canopy cover, while Cubist performed best using the reflectance plus tasseled cap band combination when predicting impervious surface cover. More training data partitioned in many small training sites generally produces better estimation results. Copyright ASPRS Numéro de notice : A2008-374 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.74.10.1213 En ligne : https://doi.org/10.14358/PERS.74.10.1213 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29367
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 10 (October 2008) . - pp 1213 - 1222[article]Landslide morphology analysis model based on LiDAR and topographic dataset comparison / Sagi Dalyot in SaLIS Surveying and land information science, vol 68 n° 3 (September 2008)PermalinkMBOC vs BOC (1,1): multipath comparison based on GIOVE-B data / A. Simsky in Inside GNSS, vol 3 n° 6 (September 2008)Permalinkvol 13 n° 5 - septembre - octobre 2008 - Modèles et langages pour les bases de données (Bulletin de Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI) / Omar BoucelmaPermalinkMulti-user test robotic total station: TOPCON IS-03 imaging station, part 1 / N. Rengers in Geoinformatics, vol 11 n° 6 (01/09/2008)PermalinkOptimizing the high-pass filter addition technique for image fusion / U.G. Gangkofner in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 9 (September 2008)PermalinkThe gravitational effect of ocean tide loading at high latitude coastal stations in Norway / D.I. Lysaker in Journal of geodesy, vol 82 n° 9 (September 2008)PermalinkMonitoring post-mining subsidence in the North-Pas-de-Calais coal basin (France): interferometric SAR results and levelling / Daniel Raucoules in Geocarto international, vol 23 n° 4 (August - September 2008)PermalinkUplift and subsidence due to the 26 December 2004 Indonesian earthquake detected by SAR data / Marco Chini in International Journal of Remote Sensing IJRS, vol 29 n°13-14 (July 2008)PermalinkAccuracy assessment of Lidar-derived digital elevation models / F. Aguilar in Photogrammetric record, vol 23 n° 122 (June - August 2008)PermalinkComparaison du positionnement temps réel classique RTK et du positionnement GPS temps réel réseau : mise en oeuvre dans le réseau Orphéon / Laurent Morel in XYZ, n° 115 (juin - août 2008)Permalink