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Termes IGN > télédétection > télédétection électromagnétique > télédétection aérospatiale > télédétection spatiale
télédétection spatialeSynonyme(s)télédétection satellitaire |
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Estimating and accommodating uncertainty through the soft classification of remote sensing data / M.A. Ibrahim in International Journal of Remote Sensing IJRS, vol 26 n° 14 (July 2005)
[article]
Titre : Estimating and accommodating uncertainty through the soft classification of remote sensing data Type de document : Article/Communication Auteurs : M.A. Ibrahim, Auteur ; M.K. Arora, Auteur ; Sanjay Kumar Ghosh, Auteur Année de publication : 2005 Article en page(s) : pp 2995 - 3007 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification dirigée
[Termes IGN] classification floue
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] incertitude des données
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] télédétection spatialeRésumé : (Auteur) Land cover mapping is perhaps the most important application of remote sensing data. The abundance of mixed pixels (representing uncertainties in class allocation), particularly in coarse spatial resolution images, has always been known to lead to difficulties in producing accurate land cover classifications. Soft classification methods may help in quantifying uncertainties in areas of transition between various types of land cover. This study aims to estimate and accommodate uncertainties in all stages of a supervised classification process (i.e. training, allocation and testing) so as to produce accurate and meaningful land cover classifications. Three soft classification methods have been used-a probabilistic maximum likelihood classifier and the two classifiers based on fuzzy set theory (fuzzy (c-means and possibilistic c-means). Uncertainty and accuracy measures based on a fuzzy error matrix have been adopted to evaluate each classifier. All of the classifiers show an increase in classification accuracy when uncertainty is appropriately accounted for in all stages of the supervised classification. In particular, the possibilistic c-means classifier produced the highest map and individual class accuracy and has been found to be more robust to the existence of uncertainties in the datasets. The approach suggested in this paper can be used to generate accurate land cover maps, even in the presence of uncertainties in the form of mixed pixels in remote sensing images. Numéro de notice : A2005-296 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500057806 En ligne : https://doi.org/10.1080/01431160500057806 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27432
in International Journal of Remote Sensing IJRS > vol 26 n° 14 (July 2005) . - pp 2995 - 3007[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05141 RAB Revue Centre de documentation En réserve L003 Exclu du prêt ASPRS 2005 pre-eminent meeting for photogrammetric and remote sensing communities, "geospatial goes global: from your neighbourhood to the whole planet" / Gordon Petrie in Geoinformatics, vol 8 n° 3 (01/05/2005)
[article]
Titre : ASPRS 2005 pre-eminent meeting for photogrammetric and remote sensing communities, "geospatial goes global: from your neighbourhood to the whole planet" Type de document : Article/Communication Auteurs : Gordon Petrie, Auteur Année de publication : 2005 Article en page(s) : pp 46 - 49 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] image spatiale
[Termes IGN] instrument aéroporté
[Termes IGN] modèle numérique de terrain
[Termes IGN] réalité virtuelle
[Termes IGN] simulation 3D
[Termes IGN] télédétection spatialeRésumé : (Auteur) The ASPRS 2005 Annual Conference was held at the Mariott Waterfront Hotel inBaltimore, Maryland between Monday 7TH and Friday 10th march. It had the theme "geospatial goes global : from your nieghbourhood to the whole planet". Implementing this theme was usal intensive ASPRS programme. Numéro de notice : A2005-185 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27322
in Geoinformatics > vol 8 n° 3 (01/05/2005) . - pp 46 - 49[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 262-05031 SL Revue Centre de documentation Revues en salle Disponible Cubic map algebra functions for spatio-temporal analysis / J. Mennis in Cartography and Geographic Information Science, vol 32 n° 1 (January 2005)
[article]
Titre : Cubic map algebra functions for spatio-temporal analysis Type de document : Article/Communication Auteurs : J. Mennis, Auteur ; R. Viger, Auteur ; C. Dana Tomlin, Auteur Année de publication : 2005 Article en page(s) : pp 17 - 32 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] dimension temporelle
[Termes IGN] données spatiotemporelles
[Termes IGN] Etats-Unis
[Termes IGN] flore locale
[Termes IGN] Map Algebra
[Termes IGN] occupation du sol
[Termes IGN] système d'information géographique
[Termes IGN] télédétection spatiale
[Termes IGN] tessellation
[Termes IGN] voxelRésumé : (Auteur) We propose an extension of map algebra to three dimensions for spatio-temporal data handling. This approach yields a new class of map algebra functions that we call "cube functions". Whereas conventional map algebra functions operate on data layers representing two-dimensional space, cube functions operate on data cubes representing two-dimensional space over a third-dimensional period of time. We describe the prototype implementation of a spatio-temporal data structure and selected cube function versions of conventional local, focal and zonal map algebra functions. The utility of cube functions is demonstrated through a case study analysing the spatio-temporal variability of remotly sensed, southeastern U.S. vegetation character over various land covers and during different El Nino/Southeastern Oscillation (ENSO) phases. Like conventional map algebra, the application of cube functions may demand significant data prepocessing when integrating diverse data sets, and are subject to limitations related to data storage and algorithm performance. Solutions to these issues include extending data compression and computing strategies for calculations on very large data volumes to spatio-temporal data handling. Numéro de notice : A2005-135 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/1523040053270765 En ligne : https://doi.org/10.1559/1523040053270765 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27273
in Cartography and Geographic Information Science > vol 32 n° 1 (January 2005) . - pp 17 - 32[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-05011 RAB Revue Centre de documentation En réserve L003 Disponible Robust multiple estimator systems for the analysis of biophysical parameters from remotely sensed data / Lorenzo Bruzzone in IEEE Transactions on geoscience and remote sensing, vol 43 n° 1 (January 2005)
[article]
Titre : Robust multiple estimator systems for the analysis of biophysical parameters from remotely sensed data Type de document : Article/Communication Auteurs : Lorenzo Bruzzone, Auteur ; F. Melgani, Auteur Année de publication : 2005 Article en page(s) : pp 159 - 174 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] estimateur
[Termes IGN] Perceptron multicouche
[Termes IGN] régression
[Termes IGN] réseau neuronal artificiel
[Termes IGN] télédétection spatiale
[Termes IGN] variable biophysique (végétation)Résumé : (Auteur) In this paper, an approach based on multiple estimator systems (MESs) for the estimation of biophysical parameters from remotely sensed data is proposed. The rationale behind the proposed approach is to exploit the peculiarities of an ensemble of different estimators in order to improve the robustness (and in some cases the accuracy) of the estimation process. The proposed MESs can be implemented in two conceptually different ways. One extends the use of an approach previously proposed in the regression literature to the estimation of biophysical parameters from remote sensing data. This approach integrates the estimates obtained from the different regression algorithms making up the ensemble by a direct linear combination (combination-based approach). The other consists of a novel approach that provides as output the estimate obtained by the regression algorithm (included in the ensemble) characterized by the highest expected accuracy in the region of the feature space associated with the considered pattern (selection-based approach). This estimator is identified based on a proper partition of the feature space. The effectiveness of the proposed approach has been assessed on the problem of estimating water quality parameters from multispectral remote sensing data. In particular, the presented MES-based approach has been evaluated by considering different operational conditions where the single estimators included in the ensemble are: 1) based on the same or on different regression methods; 2) characterized by different tradeoffs between correlated errors and accuracy of the estimates; 3) trained on samples affected or not by measurement errors. In the definition of the ensemble particular attention is devoted to support vector machines (SVMs), which are a promising approach to the solution of regression problems. In particular, a detailed experimental analysis on the effectiveness of SVMs for solving the considered estimation problem is presented. The experimental results point out that the SVM method is effective and that the proposed MES approach is capable of increasing both the robustness and accuracy of the estimation process. Numéro de notice : A2005-060 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.839818 En ligne : https://doi.org/10.1109/TGRS.2004.839818 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27198
in IEEE Transactions on geoscience and remote sensing > vol 43 n° 1 (January 2005) . - pp 159 - 174[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-05011 RAB Revue Centre de documentation En réserve L003 Disponible Mapping forest-fire damage with Envisat / F. Gonzales Alonso in ESA bulletin, n° 120 (01/11/2004)
[article]
Titre : Mapping forest-fire damage with Envisat Type de document : Article/Communication Auteurs : F. Gonzales Alonso, Auteur ; S. Merino-De-Miguel, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 23 - 26 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] carte thématique
[Termes IGN] dioxyde de carbone
[Termes IGN] dommage matériel
[Termes IGN] image Envisat
[Termes IGN] image Envisat-MERIS
[Termes IGN] incendie de forêt
[Termes IGN] pollution atmosphérique
[Termes IGN] risque environnemental
[Termes IGN] risque majeur
[Termes IGN] télédétection spatialeRésumé : (Auteur) Wildfires are a major environmental problem in many parts of the World, includinq some European countries around the Mediterranean where large forest fires have often spread uncontrollably ut frightenting rates in recent years. Such fires play a critical role in many aspects of ecosystem functioning, such as biodiversity and hydrology. They can destroy large tracts of the landscapes, as well as triggering the release of considerable amounts of the main greenhouse gas carbon dioxide, thereby affecting the global atmospheric chemistry of our planet. Numéro de notice : A2004-524 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27041
in ESA bulletin > n° 120 (01/11/2004) . - pp 23 - 26[article]Global land ice measurements from space (GLIMS) : remote sensing and GIS investigations of the Earth's cryosphere / M.P. Bishop in Geocarto international, vol 19 n° 2 (June - August 2004)PermalinkMesure de la connectivité du paysage à travers un maillage spatial / Jean-Christophe Foltête in Revue internationale de géomatique, vol 14 n° 1 (mars - mai 2004)PermalinkComparing cooccurrence probabilities and Markov random fields for texture analysis of SAR sea ice imagery / D.A. Clausi in IEEE Transactions on geoscience and remote sensing, vol 42 n° 1 (January 2004)PermalinkAssessment of shoreline changes in the western side of Zanzibar channel using satellite remote sensing / Y.W. Shaghude in International Journal of Remote Sensing IJRS, vol 24 n° 23 (December 2003)PermalinkSegmentation of remotely sensed images using wavelet and their evaluation in soft computing framework / M. Acharyya in IEEE Transactions on geoscience and remote sensing, vol 41 n° 12 (December 2003)Permalinkvol 24 n° 20 - October 2003 - Geospatial knowledge processing for natural ressource management (Bulletin de International Journal of Remote Sensing IJRS) / Remote sensing and photogrammetry societyPermalinkContribution de la télédétection dans l'étude de la fracturation du horst de Ghar Rouban (l'Oranie-Algérie) / M. Tabeliouna in Bulletin des sciences géographiques, n° 12 (octobre 2003)Permalinkvol 41 n° 9 - September 2003 - Urban remote sensing by satellite (Bulletin de IEEE Transactions on geoscience and remote sensing) / Geoscience and remote sensing societyPermalinkSatellite multi-sensor data analysis of urban surface temperatures and Landcover / B. Dousset in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 1-2 (June - December 2003)PermalinkComparison of interannual intrinsic modes in hemispheric sea ice covers and other geophysical parameters / P. Gloersen in IEEE Transactions on geoscience and remote sensing, vol 41 n° 5 (May 2003)Permalink