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Extension of retrospective datasets using multiple sensors: an approach to radiometric intercalibration of Landsat TM and MSS data / Arno Röder in Remote sensing of environment, vol 95 n° 2 (30/03/2005)
[article]
Titre : Extension of retrospective datasets using multiple sensors: an approach to radiometric intercalibration of Landsat TM and MSS data Type de document : Article/Communication Auteurs : Arno Röder, Auteur ; T. Kuemmerle, Auteur ; J. Hill, Auteur Année de publication : 2005 Article en page(s) : pp 195 - 210 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] données multicapteurs
[Termes IGN] étalonnage radiométrique
[Termes IGN] image Landsat-MSS
[Termes IGN] image Landsat-TM
[Termes IGN] image multitemporelle
[Termes IGN] redressement d'imageRésumé : (Auteur) The establishment of monitoring frameworks for environmental problems is frequently based on retrospective, multi-temporal series of satellite images. The derivation of concise conclusions from these series largely depends on their quantitative consistency ; hence, a completely standardized analysis of multi-temporal time series is mandatory. In the context of the required radiometric rectification, sensor calibration is an essential component, the accuracy of which largely determines the overall result. While for newer sensor systems extensive documentation on the development of the sensor's sensitivity exists, older systems often lack the corresponding information.
A methodology has been developed, tested and validated to radiometrically intercalibrate different sensor systems based on the precondition of simultaneous image acquisition, which is for example provided by the Landsat TM and MSS sensor systems hosted on Landsat 5. Different interpolation and processing steps within the procedure have been analyzed, and an intercalibration scheme is proposed to derive Landsat MSS calibration factors from Landsat TM, which is used as a calibrated reference. It supports a full radiometric rectification of Landsat MSS data and enables their incorporation into satellite image time series, which can thus be significantly extended by a maximum of 12 years.Numéro de notice : A2005-163 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.12.008 En ligne : https://doi.org/10.1016/j.rse.2004.12.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27301
in Remote sensing of environment > vol 95 n° 2 (30/03/2005) . - pp 195 - 210[article]A split model for extraction of subpixel impervious surface information / Y. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 7 (July 2004)
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Titre : A split model for extraction of subpixel impervious surface information Type de document : Article/Communication Auteurs : Y. Wang, Auteur ; X. Zhang, Auteur Année de publication : 2004 Article en page(s) : pp 821 - 828 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] banlieue
[Termes IGN] classification par réseau neuronal
[Termes IGN] données multicapteurs
[Termes IGN] image Landsat-TM
[Termes IGN] milieu urbain
[Termes IGN] réseau neuronal artificiel
[Termes IGN] surface imperméable
[Termes IGN] valeur radiométriqueRésumé : (Auteur) This paper introduces a Subpixel Proportional Land cover Information Transformation (SPLIT) model to extract proportions of impervious surfaces in urban and suburban areas. High spatial resolution airborne Digital Multispectral Videography (Dmsv) data provided subpixel information for Landsat TM data. The SPLIT model employed a Modularized Artificial Neural Network (MANN) to integrate multi-sensor remote sensing data and to extract proportions of impervious surfaces and other types of land cover within TM pixels. Through a control unit, the MANN was able to decompose a complex task into multiple subtasks by using a group of sub-networks. The SPLIT model identified spectral relations between TM pixel values and the corresponding DMSV subpixel patterns. The established relationship allows extrapolation of the SPLIT model to the areas beyond DMSV data coverage. We applied five intervals, i.e., 81 percent, to map the subpixel proportions of land cover types. We extrapolated the SPLIT model from training sites that have both TM and DMSV coverage into the entire DuPage County with TM data as the input. The extrapolation received 82.9 percent overall accuracyfor the extracted proportions of urban impervious surface. Numéro de notice : A2004-274 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.7.821 En ligne : https://doi.org/10.14358/PERS.70.7.821 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26801
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 7 (July 2004) . - pp 821 - 828[article]Intercalibration of vegetation indices from different sensor systems / M.D. Steven in Remote sensing of environment, vol 88 n° 4 (30/12/2003)
[article]
Titre : Intercalibration of vegetation indices from different sensor systems Type de document : Article/Communication Auteurs : M.D. Steven, Auteur ; T.J. Malthus, Auteur ; F. Baret, Auteur ; H. Xu, Auteur ; M. Chopping, Auteur Année de publication : 2003 Article en page(s) : pp 412 - 422 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] données multicapteurs
[Termes IGN] indice de végétation
[Termes IGN] luminance lumineuse
[Termes IGN] réflectance végétale
[Termes IGN] simulation d'étalonnageRésumé : (Auteur) Spectroradiometric measurements were made over a range of crop canopy densities, soil backgrounds and foliage colour. The reflected spectral radiances were convoluted with the spectral response functions of a range of satellite instruments to simulate their responses. When Normalised Difference Vegetation Indices (NDVI) from the different instruments were compared, they varied by a few percent, but the values were strongly linearly related, allowing vegetation indices from one instrument to be intercalibrated against another. A table of conversion coefficents is presented for AVHRR, ATSR2, Landsat MSS, TM and ETM+, SPOT-2 and SPOT-4 HRV, IRS, IKONOS, SEAWIFS, MISR, MODIS, POLDER, Quickbird and MERIS (see Appendix A for glossary of acronyms). The same set of coefficients was found to apply, within the margin of error of the analysis, for the Soil Adjusted Vegetation Index SAVI. The relationships for SPOT vs. TM and for ATSR-2 vs. AVHRR were directly validated by comparison of atmospherically corrected image data. The results indicate that vegetation indices can be interconverted to a precision of 12%. This result offers improved opportunities for monitoring crops through the growing season and the prospects of better continuity of long-term monitoring of vegetation responses to environmental change. Numéro de notice : A2003-367 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.08.010 En ligne : https://doi.org/10.1016/j.rse.2003.08.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26447
in Remote sensing of environment > vol 88 n° 4 (30/12/2003) . - pp 412 - 422[article]SPOT 5 est en phase de test : le lancement est prévu pour début 2002 / Anonyme in Géomatique expert, n° 13 (01/05/2001)
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Titre : SPOT 5 est en phase de test : le lancement est prévu pour début 2002 Type de document : Article/Communication Auteurs : Anonyme, Auteur Année de publication : 2001 Article en page(s) : pp 12 - 13 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] données multicapteurs
[Termes IGN] HRS (capteur)
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] image SPOT
[Termes IGN] SPOT5Résumé : (Auteur) Le nouveau satellite que SPOT Image s'apprête à lancer est entré dans son cycle de vérification/qualification. Il permettra, fort des instruments à haute résolution géométrique qu'il embarque, de fournir aussi bien des images panchromatiques en 2,5 et 5 mètres de résolution et multispectrales en 10 et 20 mètres avec une fauchée de 120 km, que les ortho-images. Qui dit mieux ? Numéro de notice : A2001-047 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21749
in Géomatique expert > n° 13 (01/05/2001) . - pp 12 - 13[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 265-01031 RAB Revue Centre de documentation En réserve L003 Disponible A multi-sensor approach to creating accurate virtual environments / Sabry F. El Hakim in ISPRS Journal of photogrammetry and remote sensing, vol 53 n° 6 (November - December 1998)
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Titre : A multi-sensor approach to creating accurate virtual environments Type de document : Article/Communication Auteurs : Sabry F. El Hakim, Auteur ; Claus Brenner, Auteur ; G. Roth, Auteur Année de publication : 1998 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] chambre DTC
[Termes IGN] compensation par faisceaux
[Termes IGN] données multicapteurs
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] monde virtuel
[Termes IGN] réalité virtuelle
[Termes IGN] rendu réaliste
[Termes IGN] texture d'image
[Termes IGN] visualisation 3D
[Termes IGN] voxelRésumé : (Auteur) Creating virtual environment models often requires geometric data from range sensors as well as photometric data from CCD cameras. The model must be geometrically correct, visually realistic, and small enough in size to allow real-time rendering. We present an approach based on 3D range sensor data, multiple CCD cameras, and a colour high-resolution digital still camera. The multiple CCD cameras provide images for a photogrammetric bundle adjustment with constraints. The results of the bundle adjustments are used to register the 3D images from the range sensor in one coordinate system. The images from the high-resolution still camera provide the texture for the final model. The paper describes the system, the techniques for the registration of the 3D images, the building of the efficient geometric model, and the registration and integration of the texture with a simplified geometric model. Copyright ISPRS Numéro de notice : A1998-249 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/S0924-2716(98)00021-5 En ligne : https://doi.org/10.1016/S0924-2716(98)00021-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29441
in ISPRS Journal of photogrammetry and remote sensing > vol 53 n° 6 (November - December 1998)[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-98061 SL Revue Centre de documentation Revues en salle Disponible Multisensor classification of sedimentary rocks / D. Evans in Remote sensing of environment, vol 25 n° 2 (01/07/1988)Permalink