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Spatio-temporal image pattern prediction method based on a physical model with time-varying optical flow / Hidetomo Sakaino in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 2 (May 2013)
[article]
Titre : Spatio-temporal image pattern prediction method based on a physical model with time-varying optical flow Type de document : Article/Communication Auteurs : Hidetomo Sakaino, Auteur Année de publication : 2013 Article en page(s) : pp 3023 - 3036 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] détecteur
[Termes IGN] données spatiotemporelles
[Termes IGN] flux de données
[Termes IGN] prédictionRésumé : (Auteur) This paper proposes an image-based prediction method that can physically predict near-future spatio-temporal image changes using fluid-like image sequences, i.e., dynamic texture, from different image sources such as ground-based radar imagers, satellite sensors, and lightning detectors. Previous alternatives, i.e., tracking radar echo by correlation or thunderstorm identification, tracking, analysis, and nowcasting, employ pattern matching or linear extrapolation of the centroid of an image object to predict the next time image with many tuning model parameters. However, such methods fail to handle the high degree of motion and deformation of fluid-like images, i.e., vortex. To remedy this issue, this paper presents a spatio-temporal prediction method based on a computer vision framework; it employs a physics-based model with time-variant optical flow. Initial local motions from image sequences are estimated by the extended optical flow method, where a locally optimal weighting parameter and a statistically robust function are applied to Horn and Schunck's model. The next time image sequence from the past image sequence is physically predicted by the extended advection equation for image intensities and the Navier–Stokes equation with a continuity equation for varying optical flow over time. For different source images, our method offers no prior knowledge of size, shape, texture, and motion of moving objects. Experiments demonstrate that the proposed prediction method outperforms a previous prediction method with respect to prediction accuracy. Numéro de notice : A2013-271 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2212201 En ligne : https://doi.org/10.1109/TGRS.2012.2212201 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32409
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 5 Tome 2 (May 2013) . - pp 3023 - 3036[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013051B RAB Revue Centre de documentation En réserve L003 Disponible A semi-analytical model for multitemporal prediction of chlorophyll-a in an Iowa lake using Hyperion data / R. Sugumaran in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 12 (December 2012)
[article]
Titre : A semi-analytical model for multitemporal prediction of chlorophyll-a in an Iowa lake using Hyperion data Type de document : Article/Communication Auteurs : R. Sugumaran, Auteur ; Jacques Thomas, Auteur Année de publication : 2012 Article en page(s) : pp 1253 - 1260 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] image EO1-Hyperion
[Termes IGN] modèle de transfert radiatif
[Termes IGN] prédiction
[Termes IGN] qualité des eaux
[Termes IGN] surveillance hydrologique
[Termes IGN] système d'information géographique
[Termes IGN] télédétection spatialeRésumé : (Auteur) The aim of this study was to use an analytical approach to monitor water quality in an Iowa lake using multitemporal Hyperion satellite imagery. Cloud-free hyperspectral images were acquired from the Hyperion sensor on individual days in June, July, and August of 2006. Water samples with accurate locations using GPS were collected simultaneously with image acquisition. Water samples were analyzed for various water quality constituents. Chlorophyll-a (chl), was estimated for each sampling date using a bio-optical model with Specific Inherent Optical Properties (siops) of the lake and light field variables derived from a radiative transfer numerical model. The model was then applied to the Hyperion images to create spatially continuous CHL maps for the study area every month. These results were compared with traditional linear regression model outputs. Maps produced using the bio-optical model effectively demonstrated spatial and temporal variability of CHL for the lake. The CHL concentration from this model across the lake ranged from 28 to 121ug/L for the month of June, 18 to 111ug/L for July, and 31 to 125 ug/L for August. The validation and accuracy assessment for the bio-optical model with in-situ data showed R2 values of 0.90978, 0.96794 and 0.93057 for June, July, and August, respectively, and Nash-Sutcliffe coefficient values of 0.499478, 0.733072, and 0.878757 for June, July, and August, respectively. Numéro de notice : A2012-644 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.11.1253 En ligne : https://doi.org/10.14358/PERS.78.11.1253 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32090
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 12 (December 2012) . - pp 1253 - 1260[article]The spatial prediction of tree species diversity in savanna woodlands of Southern Africa / G. Mutowo in Geocarto international, vol 27 n° 8 (December 2012)
[article]
Titre : The spatial prediction of tree species diversity in savanna woodlands of Southern Africa Type de document : Article/Communication Auteurs : G. Mutowo, Auteur ; Amon Murwira, Auteur Année de publication : 2012 Article en page(s) : pp 627 - 645 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] arbre (flore)
[Termes IGN] biodiversité
[Termes IGN] image Ikonos
[Termes IGN] image Terra-ASTER
[Termes IGN] indice de végétation
[Termes IGN] prédiction
[Termes IGN] radiance
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] régression linéaire
[Termes IGN] savane
[Termes IGN] ZimbabweRésumé : (Auteur) In this study, we tested the utility of remotely sensed data in predicting tree species diversity in savanna woodlands. Specifically, we developed linear regression functions based on a combination of the coefficient of variation of near infrared (NIR) radiance and the soil-adjusted vegetation index (SAVI), both derived from advanced space-borne thermal emission and reflection radiometer satellite imagery. Using the regression functions in a Geographic Information System (GIS), we predicted the spatial variations in tree species diversity. Our results showed that tree species diversity can be predicted using a combination of the coefficient of variation of NIR radiance and SAVI. We conclude that remotely sensed data can be used to spatially predict tree species diversity in savanna woodlands. Numéro de notice : A2012-550 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.662530 Date de publication en ligne : 29/02/2012 En ligne : https://doi.org/10.1080/10106049.2012.662530 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31996
in Geocarto international > vol 27 n° 8 (December 2012) . - pp 627 - 645[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2012081 RAB Revue Centre de documentation En réserve L003 Disponible Waiting to know the future: A SLEUTH model forecast of urban growth with real data / G. Manca in Cartographica, vol 47 n° 4 (December 2012)
[article]
Titre : Waiting to know the future: A SLEUTH model forecast of urban growth with real data Type de document : Article/Communication Auteurs : G. Manca, Auteur ; K. Clarke, Auteur Année de publication : 2012 Article en page(s) : pp 250 - 258 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] croissance urbaine
[Termes IGN] données démographiques
[Termes IGN] données multitemporelles
[Termes IGN] Italie
[Termes IGN] modèle de simulation
[Termes IGN] planification
[Termes IGN] prédiction
[Termes IGN] Sardaigne
[Termes IGN] système d'information géographique
[Termes IGN] utilisation du solRésumé : (Auteur) What is the true value of simulation modelling to urban growth? This article assesses the validity of an integrated approach, based on the SLEUTH Model and land-use planning theory, as used to create an eight-year forecast in 1998. With actual data on the extent of urbanization in 2006 now available, the authors find that the 1998 forecasts were accurate. The case study is located in Macomer, an inland municipality of Sardinia, Italy, an island in the central Mediterranean Sea. Noting that data collection is an essential first step of planning, the authors assess Macomer's land-use history, geography, economy, and demographics as context for more integrated and holistic planning than has been undertaken in the region to date. The 1998 calibration and prediction of the Urban Growth Model, a component of SLEUTH, simulated Macomer's urban growth for the following eight years and has been reviewed and statistically validated. With detailed geographical results, the authors confirm that the 1998 simulation closely reflects real urban growth as of 2006. This finding is particularly notable because urban growth in Sardinia has been slow, and a higher level of accuracy in urban planning is necessary to achieve stronger predictive capability. Numéro de notice : A2012-643 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/carto.47.4.1321 En ligne : http://www.utpjournals.press/doi/full/10.3138/carto.47.4.1321 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32089
in Cartographica > vol 47 n° 4 (December 2012) . - pp 250 - 258[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 031-2012041 RAB Revue Centre de documentation En réserve L003 Disponible 4D GPS water vapor tomography: new parameterized approaches / Donat Perler in Journal of geodesy, vol 85 n° 8 (August 2011)
[article]
Titre : 4D GPS water vapor tomography: new parameterized approaches Type de document : Article/Communication Auteurs : Donat Perler, Auteur ; Alain Geiger, Auteur ; Fabian Peter Hurter, Auteur Année de publication : 2011 Article en page(s) : pp 539 - 550 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] Alpes
[Termes IGN] coordonnées ellipsoïdales
[Termes IGN] distribution spatiale
[Termes IGN] données GPS
[Termes IGN] données météorologiques
[Termes IGN] filtre de Kalman
[Termes IGN] prédiction
[Termes IGN] réfraction atmosphérique
[Termes IGN] réfringence
[Termes IGN] signal GPS
[Termes IGN] Suisse
[Termes IGN] tomographie
[Termes IGN] troposphère
[Termes IGN] vapeur d'eau
[Termes IGN] voxelRésumé : (Auteur) Water vapor is a key variable in numerical weather prediction, as it plays an important role in atmospheric processes. Nonetheless, the distribution of water vapor in the atmosphere is observed with a coarse resolution in time and space compared to the resolution of numerical weather models. GPS water vapor tomography is one of the promising methods to improve the resolution of water vapor measurements. This paper presents new parameterized approaches for the determination of water vapor distribution in the troposphere by GPS. We present the methods and give first results validating the approaches. The parameterization of voxels (volumetric pixels) by trilinear and spline functions in ellipsoidal coordinates are introduced in this study. The evolution in time of the refractivity field is modeled by a Kalman filter with a temporal resolution of 30s, which corresponds to the available GPS-data rate. The algorithms are tested with simulated and with real data from more than 40 permanent GPS receiver stations in Switzerland and adjoining regions covering alpine areas. The investigations show the potential of the new parameterized approaches to yield superior results compared to the non parametric classical one. The accuracy of the tomographic result is quantified by the inter-quartile range (IQR), which is decreased by 10–20% with the new approaches. Further, parameterized voxel solutions have a substantially smaller maximal error than the non parameterized ones. Simulations show a limited ability to resolve vertical structures above the top station of the network with GPS tomography. Numéro de notice : A2011-359 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-011-0454-2 Date de publication en ligne : 08/03/2011 En ligne : https://doi.org/10.1007/s00190-011-0454-2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31138
in Journal of geodesy > vol 85 n° 8 (August 2011) . - pp 539 - 550[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 266-2011081 RAB Revue Centre de documentation En réserve L003 Disponible Use of high-resolution satellite imagery in an integrated model to predict the distribution of shade coffee tree hybrid zones / C. Gomez in Remote sensing of environment, vol 114 n° 11 (15/11/2010)PermalinkAmundsen Sea bathymetry: the benefits of using gravity data for bathymetric prediction / M. Mcmillan in IEEE Transactions on geoscience and remote sensing, vol 47 n° 12 Tome 2 (December 2009)PermalinkVerification of NWP model analyses and radiosonde humidity data with GPS precipitable water vapor estimates during AMMA / Olivier Bock in Weather and Forecasting, vol 24 n° 4 (August 2009)PermalinkPermalinkRetrieving soil temperature profile by assimilating MODIS LST products with ensemble Kalman filter / C. Huang in Remote sensing of environment, vol 112 n° 4 (15/04/2008)PermalinkLa cartographie prédictive des stations forestières : un nouvel outil au service du gestionnaire / Jean-Claude Gégout in Revue forestière française, vol 60 n° 1 (janvier - février 2008)PermalinkArtificial neural network with backpropagation learning to predict mean monthly total ozone in Arosa, Switzerland / S. Chattopadhyay in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)PermalinkLandslide hazard mapping in Austria: using GIS to develop a prediction method / B. Klingseisen in GIM international, vol 20 n° 12 (December 2006)PermalinkIdentifying erosion areas at basin scale using remote sensing data and GIS: a case study in a geologically complex mountain basin in the Spanish Pyrenees / S. Begueria in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)PermalinkSwarming methods for geospatial reasoning / H. Van Dyke Parunak in International journal of geographical information science IJGIS, vol 20 n° 9 (october 2006)Permalink