International Journal of Remote Sensing IJRS / Remote sensing and photogrammetry society . vol 26 n° 8Paru le : 20/04/2005 ISBN/ISSN/EAN : 0143-1161 |
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est un bulletin de International Journal of Remote Sensing IJRS / Remote sensing and photogrammetry society (1980 -)
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Code-barres | Cote | Support | Localisation | Section | Disponibilité |
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080-05081 | RAB | Revue | Centre de documentation | En réserve L003 | Exclu du prêt |
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Ajouter le résultat dans votre panierA comparison of local variance, fractal dimension, and Moran's index as aids to multispectral image classification / C.W. Emerson in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)
[article]
Titre : A comparison of local variance, fractal dimension, and Moran's index as aids to multispectral image classification Type de document : Article/Communication Auteurs : C.W. Emerson, Auteur ; N. Siu-Ngan Lam, Auteur ; D.A. Quattrochi, Auteur Année de publication : 2005 Article en page(s) : pp 1575 - 1588 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] Atlanta (Géorgie)
[Termes IGN] autocorrélation spatiale
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] ERDAS Imagine
[Termes IGN] image Landsat-ETM+
[Termes IGN] image multibande
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] précision de la classification
[Termes IGN] segmentation d'image
[Termes IGN] texture d'imageRésumé : (Auteur) The accuracy of traditional multispectral maximum-likelihood image classification is limited by the multi-modal statistical distributions of digital numbers from the complex, heterogenous mixture of land cover types in urban areas. This work examines the utility of local variance, fractal dimension and Moran's I index of spatial autocorrelation in segmenting multispectral satellite imagery with the goal of improving urban land cover classification accuracy. Tools available in the ERDAS Imagine™ software package and the Image Characterization and Modeling System (ICAMS) were used to analyse Landsat ETM+ imagery of Atlanta, Georgia. Images were created from the ETM+ panchromatic band using the three texture indices. These texture images were added to the stack of multispectral bands and classified using a supervised, maximum likelihood technique. Although each texture band improved the classification accuracy over a multispectral only effort, the addition of fractal dimension measures is particularly effective at resolving land cover classes within urbanized areas, as compared to per-pixel spectral classification techniques. Numéro de notice : A2005-204 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331326765 En ligne : https://doi.org/10.1080/01431160512331326765 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27341
in International Journal of Remote Sensing IJRS > vol 26 n° 8 (April 2005) . - pp 1575 - 1588[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05081 RAB Revue Centre de documentation En réserve L003 Exclu du prêt A whole image approach using field measurements for transforming EO1 Hyperion hyperspectral data into canopy reflectance spectra / E.W. Ramsey in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)
[article]
Titre : A whole image approach using field measurements for transforming EO1 Hyperion hyperspectral data into canopy reflectance spectra Type de document : Article/Communication Auteurs : E.W. Ramsey, Auteur ; G. Nelson, Auteur Année de publication : 2005 Article en page(s) : pp 1589 - 1610 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] correction atmosphérique
[Termes IGN] diffusion du rayonnement
[Termes IGN] données de terrain
[Termes IGN] éclairement énergétique
[Termes IGN] image EO1-Hyperion
[Termes IGN] image hyperspectrale
[Termes IGN] réflectance végétale
[Termes IGN] transfert radiatifRésumé : (Auteur) To maximize the spectral distinctiveness (information) of the canopy reflectance, an atmospheric correction strategy was implemented to provide accurate estimates of the intrinsic reflectance from the Earth Observing 1 (EO1) satellite Hyperion sensor signal. In rendering the canopy reflectance, an estimate of optical depth derived from a measurement of downwelling irradiance was used to drive a radiative transfer simulation of atmospheric scattering and attenuation. During the atmospheric model simulation, the input whole-terrain background reflectance estimate was changed to minimize the differences between the model predicted and the observed canopy reflectance spectra at 34 sites. Lacking appropriate spectrally invariant scene targets, inclusion of the field and predicted comparison maximized the model accuracy and, thereby, the detail and precision in the canopy reflectance necessary to detect low percentage occurrences of invasive plants. After accounting for artifacts surrounding prominent absorption features from about 400nm to 1000nm, the atmospheric adjustment strategy correctly explained 99% of the observed canopy reflectance spectra variance. Separately, model simulation explained an average of 88% + 9% of the observed variance in the visible and 98% + 1 % in the near-infrared wavelengths. In the 34 model simulations, maximum différences between the observed and predicted reflectances were typically less than + 1% in the visible ; however, maximum reflectance différences higher than +1.6% ( Numéro de notice : A2005-205 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0431160512331326729 En ligne : https://doi.org/10.1080/0431160512331326729 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27342
in International Journal of Remote Sensing IJRS > vol 26 n° 8 (April 2005) . - pp 1589 - 1610[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05081 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Application of an automated cloud-tracking algorithm on satellite imagery for tracking and monitoring small mesoscale convective cloud systems / H. Feidas in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)
[article]
Titre : Application of an automated cloud-tracking algorithm on satellite imagery for tracking and monitoring small mesoscale convective cloud systems Type de document : Article/Communication Auteurs : H. Feidas, Auteur ; C. Cartalis, Auteur Année de publication : 2005 Article en page(s) : pp 1677 - 1698 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] image Météosat
[Termes IGN] météorologie
[Termes IGN] nuage
[Termes IGN] vapeur d'eauRésumé : (Auteur) In this study, an automatic algorithm for tracking convective cloud cells, on the basis of infrared and water vapour Meteosat images, is applied in the case of intense precipitation events of 26b and 27 january 1996 in Greece, and a the results are presented. The case presented in this study has the particularity of consisting of several localized maximum precipitation events that resulted from small mesoscale convective systems. The ability of the algorithm to detect and track in Meteosat images, in real mode, propagating cloud systems of this size, through the monitoring of several cloud parameters that express cloud development and movement, is examined. It was found that the algorithm was capable of identifying small mesoscale cloud cells and tracking them consistently to the point of dissipation. Moreover, the introduction in the algorithm of new cloud parameters, which are directly related to the cloud-top structure, has proved very valuable in providing additional information on the convective potential of the detected cloud cells. Finally, an empirical nowcasting of convective cloud movement and evolution could be carried out in many cases to support the forecaster's decisions by using information on cloud speed, direction and development in conjunction with synoptic analysis. Numéro de notice : A2005-206 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331338023 En ligne : https://doi.org/10.1080/01431160512331338023 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27343
in International Journal of Remote Sensing IJRS > vol 26 n° 8 (April 2005) . - pp 1677 - 1698[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05081 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Rapid response for cloud monitoring through Meteosat VIS-IR and NOAA-A/TOVS image fusion: civil application. A first approach to MSG-SEVIRI / C. Casanova in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)
[article]
Titre : Rapid response for cloud monitoring through Meteosat VIS-IR and NOAA-A/TOVS image fusion: civil application. A first approach to MSG-SEVIRI Type de document : Article/Communication Auteurs : C. Casanova, Auteur ; A. Romo, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 1699 - 1716 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification dirigée
[Termes IGN] fusion d'images
[Termes IGN] image MSG
[Termes IGN] image TIROS
[Termes IGN] nuage
[Termes IGN] surveillance météorologiqueRésumé : (Auteur) The aim of this work is to show an automatic method of cloud classification for direct application in civil aviation. We start from the premise of an acceptable trade-off between calculation speed and accuracy in the output data. For this reason, visible and infrared channels of the Meteosat satellite were used alongside data provided by the A/TOVS (Advanced/Tiros-N Operational Vertical Sounder) probe onboard NOAA (National Oceanic and Atmospheric Administration) polar satellites. A historical database of mean temperatures at ground level was also used. The analysis of different significant synoptic and mesoscale situations highlighted the efficacy of this method in the representation of the different cloud structures that normally appear in these situations. Considering the results of the study and given its speed and accuracy, it can be concluded that the method is appropriate for monitoring cloud systems in real time. Numéro de notice : A2005-207 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331326602 En ligne : https://doi.org/10.1080/01431160512331326602 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27344
in International Journal of Remote Sensing IJRS > vol 26 n° 8 (April 2005) . - pp 1699 - 1716[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05081 RAB Revue Centre de documentation En réserve L003 Exclu du prêt