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Assessment of spectral, misregistration, and spatial uncertainties inherent in the cross-calibration study / Gyanesh Chander in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 1 (March 2013)
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Titre : Assessment of spectral, misregistration, and spatial uncertainties inherent in the cross-calibration study Type de document : Article/Communication Auteurs : Gyanesh Chander, Auteur ; Dennis L. Helder, Auteur ; David Aaron, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 1282 - 1296 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] bande spectrale
[Termes IGN] étalonnage relatif
[Termes IGN] image EO1-Hyperion
[Termes IGN] image hyperspectrale
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] image Terra-MODIS
[Termes IGN] incertitude de mesurage
[Termes IGN] incertitude géométrique
[Termes IGN] incertitude spectrale
[Termes IGN] Libye
[Termes IGN] pouvoir de résolution géométrique
[Termes IGN] réponse spectraleRésumé : (Auteur) Cross-calibration of satellite sensors permits the quantitative comparison of measurements obtained from different Earth Observing (EO) systems. Cross-calibration studies usually use simultaneous or near-simultaneous observations from several spaceborne sensors to develop band-by-band relationships through regression analysis. The investigation described in this paper focuses on evaluation of the uncertainties inherent in the cross-calibration process, including contributions due to different spectral responses, spectral resolution, spectral filter shift, geometric misregistrations, and spatial resolutions. The hyperspectral data from the Environmental Satellite SCanning Imaging Absorption SpectroMeter for Atmospheric CartograpHY and the EO-1 Hyperion, along with the relative spectral responses (RSRs) from the Landsat 7 Enhanced Thematic Mapper (TM) Plus and the Terra Moderate Resolution Imaging Spectroradiometer sensors, were used for the spectral uncertainty study. The data from Landsat 5 TM over five representative land cover types (desert, rangeland, grassland, deciduous forest, and coniferous forest) were used for the geometric misregistrations and spatial-resolution study. The spectral resolution uncertainty was found to be within 0.25%, spectral filter shift within 2.5%, geometric misregistrations within 0.35%, and spatial-resolution effects within 0.1% for the Libya 4 site. The one-sigma uncertainties presented in this paper are uncorrelated, and therefore, the uncertainties can be summed orthogonally. Furthermore, an overall total uncertainty was developed. In general, the results suggested that the spectral uncertainty is more dominant compared to other uncertainties presented in this paper. Therefore, the effect of the sensor RSR differences needs to be quantified and compensated to avoid large uncertainties in cross-calibration results. Numéro de notice : A2013-124 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2228008 En ligne : https://doi.org/10.1109/TGRS.2012.2228008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32262
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 3 Tome 1 (March 2013) . - pp 1282 - 1296[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2013031A RAB Revue Centre de documentation En réserve L003 Disponible Moving and calling: Mobile phone data quality measurements and spatiotemporal uncertainty in human mobility studies / Corina Iovan (2013)
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Titre : Moving and calling: Mobile phone data quality measurements and spatiotemporal uncertainty in human mobility studies Type de document : Chapitre/Contribution Auteurs : Corina Iovan , Auteur ; Ana-Maria Olteanu-Raimond
, Auteur ; Thomas Couronné, Auteur ; Zbigniew Smoreda, Auteur
Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2013 Importance : pp 247 - 265 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] échantillonnage de données
[Termes IGN] incertitude géométrique
[Termes IGN] incertitude temporelle
[Termes IGN] mobilité urbaine
[Termes IGN] qualité des données
[Termes IGN] téléphonie mobileRésumé : (auteur) In the past few years, mobile network data are considered as a useful complementary source of information for human mobility research. Mobile phone datasets contain massive amount of spatiotemporal localization of millions of users. The analyze of such huge amount of data for mobility studies reveals many issues such as time computation, users sampling, spatiotemporal heterogeneities, semantic incompleteness. In this chapter, two issues are addressed: (1) location sampling aiming at decreasing computation time without losing useful information on the one hand and to eliminate data considered as noise in the other hand and (2) users sampling whose goal is to select users having relevant information. For the first issue two measures allowing eliminating redundant information and ping-pong positions are proposed. The second issue requires the definition of a set of measures allowing estimating mobile phone data quality. New methods to qualify mobile phone data at local and global level are proposed. The methods are tested on one-day mobile phone data coming from technical mobile network probes. Numéro de notice : H2013-004 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Chapître / contribution DOI : 10.1007/978-3-319-00615-4_14 Date de publication en ligne : 12/05/2013 En ligne : http://dx.doi.org/10.1007/978-3-319-00615-4_14 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80190
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Titre : Slope analysis of fuzzy surfaces Type de document : Article/Communication Auteurs : J. Caha, Auteur ; P. Tucek, Auteur ; Alena Vondrakova, Auteur ; L. Paclikova, Auteur Année de publication : 2012 Article en page(s) : pp 649 - 661 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] incertitude géométrique
[Termes IGN] logique floue
[Termes IGN] penteRésumé : (Auteur) Analysis of the slope is one of the fundamental analyses within geoinformatics, especially its initial calculation. Slope analysis is usually used as the first step in much more sophisticated analyses as well as in complex models of natural phenomena. Fuzzy surfaces provide representation of geographical phenomena with all aspects of the uncertainty (i.e. both in terms of the description of reality or the uncertainty of measurement). The uncertainty in the input surface is crucial for analysis of slope. A high level of uncertainty can significantly affect the result of slope analysis. The Neighbourhood method was utilized for calculating with fuzzy numbers and to perform slope analysis of the fuzzy surface. The main reason for choosing this method is that it belongs to the most common tools in GIS software (e.g. both ArcGIS and GRASS). The computation with fuzzy numbers instead of crisp numbers allows evaluation of uncertainty of the resultant slope. The aim of this article is to present the process of slope calculation with fuzzy numbers as well as all necessary algorithms that are needed for such calculation. The further analysis of uncertainty provides important information for the process of decision making. The level of uncertainty in the results of the above-mentioned analysis can be as important as the actual result. It is especially important in situations where the amount of uncertainty varies at higher values. Numéro de notice : A2012-516 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01333.x Date de publication en ligne : 10/10/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01333.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31962
in Transactions in GIS > vol 16 n° 5 (October 2012) . - pp 649 - 661[article]Geo-referencing point clouds with transformational and positional uncertainties / Jens-André Paffenholz in Journal of applied geodesy, vol 6 n° 1 (January 2012)
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Titre : Geo-referencing point clouds with transformational and positional uncertainties Type de document : Article/Communication Auteurs : Jens-André Paffenholz, Auteur ; Kwang-Ho Bae, Auteur Année de publication : 2012 Article en page(s) : pp 33 - 46 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] géoréférencement
[Termes IGN] incertitude géométrique
[Termes IGN] propagation d'erreur
[Termes IGN] semis de points
[Termes IGN] télémétrie laser terrestreRésumé : (auteur) The paper presents an iterative matching method to improve a direct geo-referencing approach for stationary terrestrial 3D laser scans by means of the positional and transformational uncertainties of two 3D point clouds. In this approach, a geo-referenced point cloud from a station inherits the following stochastic information: (1) transformational uncertainties from processed GNSS data through the Kalman filter and (2) positional uncertainties through the range and angular uncertainties from the terrestrial laser scanner as well as the incident angle of the laser beam to a surface. This stochastic information from two (pre-) geo-referenced 3D point clouds is implemented within a novel iterative matching algorithm, named Geo-referencing ICP with Helmert 3D transformation, for subsequent post-processing procedures such as segmentation and further calibration. Numéro de notice : A2012-719 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article DOI : 10.1515/jag-2011-0010 En ligne : https://doi.org/10.1515/jag-2011-0010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84545
in Journal of applied geodesy > vol 6 n° 1 (January 2012) . - pp 33 - 46[article]Improving the assessment of ICESat water altimetry accuracy accounting for autocorrelation / Hani Abdallah in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 (November 2011)
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Titre : Improving the assessment of ICESat water altimetry accuracy accounting for autocorrelation Type de document : Article/Communication Auteurs : Hani Abdallah, Auteur ; Jean-Stéphane Bailly, Auteur ; Nicolas Baghdadi, Auteur ; Nicolas Lemarquand, Auteur Année de publication : 2011 Article en page(s) : pp 833 - 844 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] altimétrie satellitaire par laser
[Termes IGN] autocorrélation spatiale
[Termes IGN] données altimétriques
[Termes IGN] données ICEsat
[Termes IGN] Etats-Unis
[Termes IGN] filtrage du rayonnement
[Termes IGN] forme d'onde
[Termes IGN] géostatistique
[Termes IGN] Grands Lacs
[Termes IGN] incertitude géométrique
[Termes IGN] précision altimétrique
[Termes IGN] ressources en eauRésumé : (Auteur) Given that water resources are scarce and are strained by competing demands, it has become crucial to develop and improve techniques to observe the temporal and spatial variations in the inland water volume. Due to the lack of data and the heterogeneity of water level stations, remote sensing, and especially altimetry from space, appear as complementary techniques for water level monitoring. In addition to spatial resolution and sampling rates in space or time, one of the most relevant criteria for satellite altimetry on inland water is the accuracy of the elevation data. Here, the accuracy of ICESat LIDAR altimetry product is assessed over the Great Lakes in North America. The accuracy assessment method used in this paper emphasizes on autocorrelation in high temporal frequency ICESat measurements. It also considers uncertainties resulting from both in situ lake level reference data. A probabilistic upscaling process was developed. This process is based on several successive ICESat shots averaged in a spatial transect accounting for autocorrelation between successive shots. The method also applies pre-processing of the ICESat data with saturation correction of ICESat waveforms, spatial filtering to avoid measurement disturbance from the land–water transition effects on waveform saturation and data selection to avoid trends in water elevations across space. Initially this paper analyzes 237 collected ICESat transects, consistent with the available hydrometric ground stations for four of the Great Lakes. By adapting a geostatistical framework, a high frequency autocorrelation between successive shot elevation values was observed and then modeled for 45% of the 237 transects. The modeled autocorrelation was therefore used to estimate water elevations at the transect scale and the resulting uncertainty for the 117 transects without trend. This uncertainty was 8 times greater than the usual computed uncertainty, when no temporal correlation is taken into account. This temporal correlation, corresponding to approximately 11 consecutive ICESat shots, could be linked to low transmitted ICESat GLAS energy and to poor weather conditions. Assuming Gaussian uncertainties for both reference data and ICESat data upscaled at the transect scale, we derived GLAS deviations statistics by averaging the results at station and lake scales. An overall bias of -4.6 cm (underestimation) and an overall standard deviation of 11.6 cm were computed for all lakes. Results demonstrated the relevance of taking autocorrelation into account in satellite data uncertainty assessment. Numéro de notice : A2011-471 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.09.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.09.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31365
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 6 (November 2011) . - pp 833 - 844[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2011061 SL Revue Centre de documentation Revues en salle Disponible Automatic reasoning for geometric constraints in 3D city models with uncertain observations / S. Loch-Dehbi in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 2 (March - April 2011)
PermalinkA model to estimate length measurements uncertainty in vector databases / Jean-François Girres (2011)
PermalinkAn application-driven approach to terrain model construction / A. Darnell in International journal of geographical information science IJGIS, vol 24 n°7-8 (july 2010)
PermalinkAnchor uncertainty and space-time prisms on road networks / Bart Kuijpers in International journal of geographical information science IJGIS, vol 24 n°7-8 (july 2010)
PermalinkOCL for formal modelling of topological modelling constraints involving regions with broad boundaries / L. Bejaoui in Geoinformatica, vol 14 n° 3 (July 2010)
PermalinkAccuracy 2010 : Proceedings of the Ninth international symposium on spatial accuracy assessment in natural resources and environmental sciences, Leicester, UK, 20 - 23 juillet 2010 / Nicholas J. Tate (2010)
PermalinkGéolocalisation en milieu urbain par appariement entre une collection d'images et un SIG 2D / N. Bioret in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 14 n° 5 (septembre - octobre 2009)
PermalinkAssessing spatial uncertainty of LIDAR-derived building model: a case study in downtown Oklahoma city / M. Cheuk in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 3 (March 2009)
PermalinkPrediction and visualization of GPS multipath signals in urban areas using LiDAR Digital Surface Models and building footprints / J. Li in International journal of geographical information science IJGIS, vol 22 n°11-12 (november 2008)
PermalinkGeoreferencing locality descriptions and computing associated uncertainty using a probabilistic approach / Q. Guo in International journal of geographical information science IJGIS, vol 22 n° 10 (october 2008)
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