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Review article: geometric processing of remote sensing images: models, algorithms and methods / Thierry Toutin in International Journal of Remote Sensing IJRS, vol 25 n° 10 (May 2004)
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Titre : Review article: geometric processing of remote sensing images: models, algorithms and methods Type de document : Article/Communication Auteurs : Thierry Toutin , Auteur
Année de publication : 2004 Article en page(s) : pp 1893 - 1924 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] correction d'image
[Termes IGN] correction géométrique
[Termes IGN] correction radiométrique
[Termes IGN] déformation géométrique
[Termes IGN] image multi sources
[Termes IGN] modèle d'erreur
[Termes IGN] modèle mathématique
[Termes IGN] Ploynôme
[Termes IGN] propagation d'erreurRésumé : (Auteur) The geometric processing of remote sensing images becomes a key issue in multi-source data integration, management and analysis for many geomatic applications. This paper first reviews the source of geometric distortions, compares the different mathematical models being currently used for geometric distortion modelling, details the algorithms, methods and processing steps and finally tracks the error propagation from the input to the final output data. Numéro de notice : A2004-144 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000101611 En ligne : https://doi.org/10.1080/0143116031000101611 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26671
in International Journal of Remote Sensing IJRS > vol 25 n° 10 (May 2004) . - pp 1893 - 1924[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04081 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Scaling net primary production to a MODIS footprint in support of Earth observing system product validation / D. Turner in International Journal of Remote Sensing IJRS, vol 25 n° 10 (May 2004)
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Titre : Scaling net primary production to a MODIS footprint in support of Earth observing system product validation Type de document : Article/Communication Auteurs : D. Turner, Auteur ; S. Ollinger, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 1961 - 1979 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] erreur de classification
[Termes IGN] erreur de mesure
[Termes IGN] hétérogénéité
[Termes IGN] image Terra-MODIS
[Termes IGN] incertitude géométrique
[Termes IGN] mise à l'échelleRésumé : (Auteur) Release of an annual global terrestrial net primary production (NPP) data layer has begun in association with the Moderate Imaging Spectroradiometer (MODIS) sensor, a component of the NASA Earth Observing System. The task of validating this product will be complicated by the mismatch in scale between groundbased NPP measurements and the coarse resolution (1 km) of the NPP product. In this paper we describe three relevant approaches to scaling NPP from the plot level to the approximately 25km2 footprint of the sensor, and discuss issues associated with operational comparisons to the MODIS NPP product. All approaches revealed considerable spatial heterogeneity in NPP at scales less than the resolution of the MODIS NPP product. The effort to characterize uncertainty in the validation data layers indicated the importance of treating the combination of classification error, sampling error, and measurement error. Generally, the optimal procedure for scaling NPP to a MODIS footprint will depend on local vegetation type, the scale of spatial heterogeneity, and available resources. In all approaches, high resolution remote sensing can play a critical role in characterizing land cover and relevant biophysical variables. Numéro de notice : A2004-145 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000150013 En ligne : https://doi.org/10.1080/0143116031000150013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26672
in International Journal of Remote Sensing IJRS > vol 25 n° 10 (May 2004) . - pp 1961 - 1979[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04081 RAB Revue Centre de documentation En réserve L003 Exclu du prêt vol 66 n° 3 - May 2004 (Bulletin de Graphical models)
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Titre : vol 66 n° 3 - May 2004 Type de document : Périodique Année de publication : 2004 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image Numéro de notice : 095-0403 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=14359 [n° ou bulletin]Nonparametric weighted feature extraction for classification / D.A. Landgrebe in IEEE Transactions on geoscience and remote sensing, vol 42 n° 5 (May 2004)
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Titre : Nonparametric weighted feature extraction for classification Type de document : Article/Communication Auteurs : D.A. Landgrebe, Auteur ; B.C. Kuo, Auteur Année de publication : 2004 Article en page(s) : pp 1096 - 1105 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse discriminante
[Termes IGN] classificateur non paramétrique
[Termes IGN] extraction automatique
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] matrice
[Termes IGN] précision de la classification
[Termes IGN] reconnaissance de formes
[Termes IGN] réduction géométriqueRésumé : (Auteur) In this paper, a new nonparametric feature extraction method is proposed for high-dimensional multiclass pattern recognition problems. It is based on a nonparametric extension of scatter matrices. There are at least two advantages to using the proposed nonparametric scatter matrices. First, they are generally of full rank. This provides the ability to specify the number of extracted features desired and to reduce the effect of the singularity problem. This is in contrast to parametric discriminant analysis, which usually only can extract L - 1 (number of classes minus one) features. In a real situation, this may not be enough. Second, the nonparametric nature of scatter matrices reduces the effects of outliers and works well even for nonnormal datasets. The new method provides greater weight to samples near the expected decision boundary. This tends to provide for increased classification accuracy. Numéro de notice : A2004-196 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.825578 En ligne : https://doi.org/10.1109/TGRS.2004.825578 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26723
in IEEE Transactions on geoscience and remote sensing > vol 42 n° 5 (May 2004) . - pp 1096 - 1105[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-04051 RAB Revue Centre de documentation En réserve L003 Disponible Thematic map comparison: evaluating the statistical significance of differences in classification accuracy / Giles M. Foody in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 5 (May 2004)
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Titre : Thematic map comparison: evaluating the statistical significance of differences in classification accuracy Type de document : Article/Communication Auteurs : Giles M. Foody, Auteur Année de publication : 2004 Article en page(s) : pp 627 - 633 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] carte thématique
[Termes IGN] données de terrain
[Termes IGN] échantillon
[Termes IGN] Kappa de Cohen
[Termes IGN] précision de la classificationRésumé : (Auteur) The accuracy of thematic maps derived by image classification analyses is often compared in remote sensing studies. This comparison is typically achieved by a basic subjective assessment of the observed difference in accuracy but should be undertaken in a statistically rigorous fashion. One approach for the evaluation of the statistical significance of a difference in map accuracy that has been widely used in remote sensing research is based on the comparison of the kappa coefficient of agreement derived for each map. The conventional approach to the comparison of kappa coefficients assumes that the samples used in their calculation are independent, an assumption that is commonly unsatisfied because the same sample of ground data sites is often used for each map. Alternative methods to evaluate the statistical significance of differences in accuracy are available for both related and independent samples. Approaches for map comparison based on the kappa coefficient and proportion of correctly allocated cases, the two most widely used metrics of thematic map accuracy in remote sensing, are discussed. An example illustrates how classifications based on the some sample of ground data sites may be compared rigorously and highlights the importance of distinguishing between one- and two-sided statistical tests in the comparison of classification accuracy statements. Numéro de notice : A2004-183 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.5.627 En ligne : https://doi.org/10.14358/PERS.70.5.627 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26710
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 5 (May 2004) . - pp 627 - 633[article]Unifying regularization and Bayesian estimation methods for enhanced imaging with remotely sensed data - part 1: theory / Y.V. Shkvarko in IEEE Transactions on geoscience and remote sensing, vol 42 n° 5 (May 2004)
PermalinkUnifying regularization and Bayesian estimation methods for enhanced imaging with remotely sensed data - part 2: implementation and performance issues / Y.V. Shkvarko in IEEE Transactions on geoscience and remote sensing, vol 42 n° 5 (May 2004)
PermalinkA hemispherical-directional reflectance model as a tool for understanding image distinctions between cultivated and uncultivated bare surfaces / J. Cierniewski in Remote sensing of environment, vol 90 n° 4 (30/04/2004)
PermalinkAtmospheric correction of Advanced Very High Resolution Radiometer imagery / Mhd. Suhyb Salama in International Journal of Remote Sensing IJRS, vol 25 n° 7 (April 2004)
PermalinkToward a differential calculus for temporal map analysis / Denis J. Dean in Cartography and Geographic Information Science, vol 31 n° 2 (April 2004)
PermalinkComparison of land surface emissivity and radiometric temperature derived from MODIS and ASTER sensors / F. Jacob in Remote sensing of environment, vol 90 n° 2 (30/03/2004)
PermalinkSmoothing vegetation spectra with wavelets / K.S. Schmidt in International Journal of Remote Sensing IJRS, vol 25 n° 6 (March 2004)
PermalinkTree model based eco-climatic vegetation classification and fuzzy mapping in diverse tropical deciduous ecosystems using multi-season NDVI / J. Krishnaswamy in International Journal of Remote Sensing IJRS, vol 25 n° 6 (March 2004)
PermalinkAirborne measurement of hot spot reflectance signatures / F. Camacho-De Coca in Remote sensing of environment, vol 90 n° 1 (15/03/2004)
PermalinkArtificial neural network-based techniques for the retrieval of SWE [snow water equivalent] and snow depth from SSM/I data / Marco Tedesco in Remote sensing of environment, vol 90 n° 1 (15/03/2004)
PermalinkAccuracy analysis of remote sensing change detection by rule-based rationality evaluation with post-classification comparison / H. Liu in International Journal of Remote Sensing IJRS, vol 25 n° 5 (March 2004)
PermalinkAutomated extraction of coastline from satellite imagery by integrating canny edge detection and locally adaptative thresholding methods / H. Liu in International Journal of Remote Sensing IJRS, vol 25 n° 5 (March 2004)
PermalinkG-WMAP: a statistical speckle filter operating in the wavelet domain / S. Solbo in International Journal of Remote Sensing IJRS, vol 25 n° 5 (March 2004)
Permalinkvol 66 n° 2 - March 2004 (Bulletin de Graphical models)
PermalinkAutomated classification of aerial photographs: detection of forest borders and single trees / André Dufour in Geoinformatics, vol 7 n° 2 (01/03/2004)
PermalinkAutomating the analysis of remotely sensed data / C. Skelsey in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 3 (March 2004)
PermalinkA double continuous approach to visualization and analysis of categorial maps / T. Hengl in International journal of geographical information science IJGIS, vol 18 n° 2 (march 2004)
PermalinkPermalinkEffets radiométriques en milieu urbain à grande échelle et correction des ombres / Gilles Martinoty in Géomatique expert, n° 32 (01/03/2004)
PermalinkKaiser filter for antialiasing in digital photogrammetry / Kourosh Khoshelham in Photogrammetric record, vol 19 n° 105 (March - May 2004)
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