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Analysis of DORIS range-rate residuals for TOPEX/Poseidon, Jason, Envisat and SPOT / Eelco Doornbos in Acta Astronautica, vol 60 n° 8-9 (April - May 2007)
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Titre : Analysis of DORIS range-rate residuals for TOPEX/Poseidon, Jason, Envisat and SPOT Type de document : Article/Communication Auteurs : Eelco Doornbos, Auteur ; Pascal Willis , Auteur
Année de publication : 2007 Article en page(s) : pp 611 - 621 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] antenne DORIS
[Termes IGN] centre de phase
[Termes IGN] DORIS
[Termes IGN] erreur systématique
[Termes IGN] orbitographieRésumé : (auteur) Three currently operational radar altimeter satellites are equipped with the Doppler orbitography and radiopositioning integrated by satellite (DORIS) tracking system for precise orbit determination and two more are already foreseen. Any systematic errors in their computed orbits could possibly adversely affect scientific products used in climate change studies, such as sea level and ice sheet heights. DORIS residuals, which can be interpreted as a measure of orbit determination performance, often show systematic errors. We have therefore analyzed long time series of DORIS range-rate residuals in order to investigate possible systematic errors common to all DORIS analysis strategies and software packages, either on a satellite or on a station basis. In particular, the investigation has focused on global DORIS data of six satellites (TOPEX, Jason, Envisat and SPOT-2, -4 and -5) and station-specific data for Fairbanks, Easter Island and Syowa Base. Large measurement errors when crossing the South Atlantic Anomaly are easily detected in the DORIS residuals of Jason, while Envisat residuals show the most prominent evidence of multipath interference and the effect of a flight software update. Particularly, large errors were also found in low-elevation data. Numéro de notice : A2007-677 Affiliation des auteurs : IGN+Ext (1940-2011) Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.actaastro.2006.07.012 Date de publication en ligne : 09/10/2006 En ligne : https://doi.org/10.1016/j.actaastro.2006.07.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102768
in Acta Astronautica > vol 60 n° 8-9 (April - May 2007) . - pp 611 - 621[article]A comparison of four common atmospheric correction methods / A.S. Mahiny in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 4 (April 2007)
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Titre : A comparison of four common atmospheric correction methods Type de document : Article/Communication Auteurs : A.S. Mahiny, Auteur ; B. Turner, Auteur Année de publication : 2007 Article en page(s) : pp 361 - 368 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] correction atmosphérique
[Termes IGN] détection de changement
[Termes IGN] erreur absolue
[Termes IGN] erreur relative
[Termes IGN] image Landsat-TMRésumé : (Auteur) Four atmospheric correction methods, two relative and two absolute, were compared in this study. Two of the methods (PIF and RCS) were relative approaches; COST is an absolute image-based method and 6S, an absolute modeling method. The methods were applied to the hazy bands 1 through 4 of a Landsat TM scene of the year 1997, which was being used in a change detection project. The effects of corrections were studied in woodland patches. Three criteria, namely (a) image attributes; (b) image classification results, and (c) landscape metrics, were used for comparing the performance of the correction methods. Average pixel values, dynamic range, and coefficient of variation of bands constituted the first criterion, the area of detected vegetation through image classification was the second criterion, and patch and landscape measures of vegetation the third criterion. Overall, the COST, RCS, and 6S methods performed better than PIF and showed more stable results. The 6S method produced some negative values in bands 2 through 4 due to the unavailability of some data needed in the model. Having to use only a single set of image pixels for normalization in the PIF method and the difficulty of selecting such samples in the study area may be the reasons for its poor performance. Copyright ASPRS Numéro de notice : A2007-140 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.4.361 En ligne : https://doi.org/10.14358/PERS.73.4.361 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28503
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 4 (April 2007) . - pp 361 - 368[article]Higher order ionospheric effects in precise GNSS positioning / M. Mainul Hoque in Journal of geodesy, vol 81 n° 4 (April 2007)
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Titre : Higher order ionospheric effects in precise GNSS positioning Type de document : Article/Communication Auteurs : M. Mainul Hoque, Auteur ; N. Jakowski, Auteur Année de publication : 2007 Article en page(s) : pp 259 - 268 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] correction ionosphérique
[Termes IGN] phase GPS
[Termes IGN] positionnement par GNSS
[Termes IGN] réfraction atmosphérique
[Termes IGN] résidu
[Termes IGN] teneur totale en électronsRésumé : (Auteur) With the increasing number of precise navigation and positioning applications using Global Navigation Satellite Systems (GNSS) such as the Global Positioning System (GPS), higher order ionospheric effects and their correction become more and more important. Whereas the first-order error can be completely eliminated by a linear combination of dual- frequency measurements, the second- and third-order residual effects remain uncorrected in this approach. To quantify the second-order residual effect, a simple formula has been derived for GNSS users in Germany. Our proposed correction algorithm reduces the second-order effects to a residual error of fractions of 1 mm up to 2 mm at a vertical total electron content level of 1018 electrons/m (100 TECU), depending on satellite azimuth and elevation angles. The correction formula can be implemented in real-time applications as it does not require the knowledge of the geomagnetic field or the electron density distribution in the ionosphere along the signal path. It is expected that the correction will enable more accurate positioning using the line-of-sight carrier-phase measurements. Copyright Springer Numéro de notice : A2007-186 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-006-0106-0 En ligne : https://doi.org/10.1007/s00190-006-0106-0 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28549
in Journal of geodesy > vol 81 n° 4 (April 2007) . - pp 259 - 268[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 266-07041 RAB Revue Centre de documentation En réserve L003 Disponible 266-07042 RAB Revue Centre de documentation En réserve L003 Disponible Semantic-sensitive satellite image retrieval / Y. Li in IEEE Transactions on geoscience and remote sensing, vol 45 n° 4 (April 2007)
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Titre : Semantic-sensitive satellite image retrieval Type de document : Article/Communication Auteurs : Y. Li, Auteur ; T.R. Bretschneider, Auteur Année de publication : 2007 Article en page(s) : pp 853 - 860 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] base de données d'images
[Termes IGN] image satellite
[Termes IGN] inférence sémantique
[Termes IGN] recherche d'information
[Termes IGN] réseau bayesienRésumé : (Auteur) Content-based image-retrieval techniques based on query scenes are a powerful means for exploration and mining of large remote sensing image databases. However, the gap between low-level unsupervised extracted features in content-based retrieval and the high-level semantic concepts of user queries limits the performance. Therefore, this paper proposes a specialized approach using a context-sensitive Bayesian network for semantic inference of segmented scenes. The regions' remote sensing related semantic concepts are inferred in a multistage process based on their spectral and textural characteristics as well as the semantics of adjacent regions. During the actual retrieval, the semantics are employed for the extraction of candidate scenes which are evaluated and ranked in a consecutive step. The approach was implemented and compared with a different strategy that utilizes the extracted features from the imagery directly to infer the semantics. In summary, the developed system achieved higher precision and recall rates using the same training data Copyright IEEE Numéro de notice : A2007-219 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2007.892008 En ligne : https://doi.org/10.1109/TGRS.2007.892008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28582
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 4 (April 2007) . - pp 853 - 860[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-07041 RAB Revue Centre de documentation En réserve L003 Disponible Contribution of ionospheric irregularities to the error of dual-frequency GNSS positioning / B.C. Kim in Journal of geodesy, vol 81 n° 3 (March 2007)
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Titre : Contribution of ionospheric irregularities to the error of dual-frequency GNSS positioning Type de document : Article/Communication Auteurs : B.C. Kim, Auteur ; M.V. Tinin, Auteur Année de publication : 2007 Article en page(s) : pp 189 - 199 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] correction ionosphérique
[Termes IGN] positionnement par GPS
[Termes IGN] propagation ionosphérique
[Termes IGN] récepteur bifréquence
[Termes IGN] résiduRésumé : (Auteur) This paper investigates the third-order residual range error in the dual-frequency correction of ionospheric effects on satellite navigation. We solve the two-point trajectory problem using the perturbation method to derive second-approximation formulas for the phase path of the wave propagating through an inhomogeneous ionosphere. It is shown that these formulas are consistent with the results derived from applying perturbation theory directly to the eikonal equation. The resulting expression for the phase path is used in calculating the residual range error of dual-frequency global positioning system (GPS) observations, in view of second- and third-order terms. The third-order correction includes not only the quadratic correction of the refractive index but also the correction for ray bending in an inhomogeneous ionosphere. Our calculations took into consideration that the ionosphere has regular large-scale irregularities, as well as smaller-scale random irregularities. Numerical examples show that geomagnetic field effects, which constitute a second-order correction, typically exceed the effects of the quadratic correction and the regular ionospheric inhomogeneity. The contribution from random irregularities can compare with or exceed that made by the second-order correction. Therefore, random ionospheric irregularities can make a significant (sometimes dominant) contribution to the residual range error. Copyright Springer Numéro de notice : A2007-183 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-006-0099-8 En ligne : https://doi.org/10.1007/s00190-006-0099-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28546
in Journal of geodesy > vol 81 n° 3 (March 2007) . - pp 189 - 199[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 266-07031 RAB Revue Centre de documentation En réserve L003 Disponible 266-07032 RAB Revue Centre de documentation En réserve L003 Disponible Evaluating the uncertainty caused by Post Office Box addresses in environmental health studies: A restricted Monte Carlo approach / X. Shi in International journal of geographical information science IJGIS, vol 21 n° 3-4 (march - april 2007)
PermalinkEvaluation de différentes méthodes d'interpolation spatiale pour la production d'un MNT à partir de données topographiques dans un SIG / Noamen Rebaï in XYZ, n° 110 (mars - mai 2007)
PermalinkFusion of imaging spectrometer and LIDAR data over combined radiative transfer models for forest canopy characterization / B. Koetz in Remote sensing of environment, vol 106 n° 4 (28/02/2007)
PermalinkBuilding facade interpretation from uncalibrated wide-baseline image sequences / Helmut Mayer in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 6 (February 2007)
PermalinkCalibration errors on experimental slant total electron content (TEC) determined with GPS / L. Ciraolo in Journal of geodesy, vol 81 n° 2 (February 2007)
PermalinkDétection de feux de forêt par analyse statistique d'évènements rares à partir d'images infrarouges thermiques / Florent Lafarge in Traitement du signal, vol 24 n° 1 ([01/02/2007])
PermalinkRegional products for the Baltic Sea using MERIS data / H. Krawczyk in International Journal of Remote Sensing IJRS, vol 28 n°3-4 (February 2007)
PermalinkStochastic models for GPS positioning: an empirical approach / Rodrigo Figueiredo Leandro in GPS world, vol 18 n° 2 (February 2007)
PermalinkEvaluating NDVI-based emissivities of MODIS bands 31 and 32 using emissivities derived by day/night LST algorithm / M. Momeni in Remote sensing of environment, vol 106 n° 2 (30/01/2007)
PermalinkReflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses / H. Kobayashi in Remote sensing of environment, vol 106 n° 2 (30/01/2007)
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