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| HAL : hal-00453895, version 1 |
| CEMOA : http://cemadoc.irstea.fr/cemoa/PUB00024085 |
| Fiche détaillée |  Récupérer au format |
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| Sensors Journal, 8 (2008) p. 2774 - p. 2791 |
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| Relative radiometric normalization and atmospheric correction of a SPOT 5 time series |
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| M. El Hajj 1A. Bégué 1 |
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| (2008) |
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| Multi-temporal images acquired at high spatial and temporal resolution are an important tool for detecting change and analyzing trends, especially in agricultural applications. However, to insure a reliable use of this kind of data, a rigorous radiometric normalization step is required. Normalization can be addressed by performing an atmospheric correction of each image in the time series. The main problem is the difficulty of obtaining an atmospheric characterization at a given acquisition date. In this paper, we investigate whether relative radiometric normalization can substitute for atmospheric correction. We develop an automatic method for relative radiometric normalization based on calculating linear regressions between unnormalized and reference images. Regressions are obtained using the reflectances of automatically selected invariant targets. We compare this method with an atmospheric correction method that uses the 6S model. The performances of both methods are compared using 18 images from of a SPOT 5 time series acquired over Reunion Island. Results obtained for a set of manually selected invariant targets show excellent agreement between the two methods in all spectral bands: values of the coefficient of determination (r²) exceed 0.960, and bias magnitude values are less than 2.65. There is also a strong correlation between normalized NDVI values of sugarcane fields (r² = 0.959). Despite a relative error of 12.66% between values, very comparable NDVI patterns are observed. |
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| 1 : | Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS) |
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Centre de coopération internationale en recherche agronomique pour le développement [CIRAD] : UMR91 – CEMAGREF-UR LCMO – Ecole Nationale du Génie Rural des Eaux et Forêts |
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| 2 : | Centre d'études spatiales de la biosphère (CESBIO) |
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CNRS : UMR5126 – Institut de recherche pour le développement [IRD] – CNES – Observatoire Midi-Pyrénées – INSU – Université Paul Sabatier [UPS] - Toulouse III |
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| 3 : | Centre National d'Etudes Spatiales (CNES) |
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Ministère de l'Enseignement Supérieur et de la Recherche Scientifique |
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| Domaine | : | Physique/Physique/Instrumentations et Détecteurs Sciences de l'ingénieur/Traitement du signal et de l'image Sciences du Vivant/Sciences agricoles/Sciences et techniques de l'agriculture Sciences de l'environnement Informatique/Traitement du signal et de l'image |
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| TELEDETECTION – VARIABILITE TEMPORELLE – IMAGE SATELLITAIRE – NORMALISATION – CANNE A SUCRE – DONNEES RADIOMETRIQUES GEOREFERENCEES – SERIE TEMPORELLE – RADIOMETRIC NORMALIZATION – ATMOSPHERIC CORRECTION – SPOT 5 – TIME SERIES – SUGARCANE |
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| Liste des fichiers attachés à ce document : | |||||
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| hal-00453895, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00453895 | |
| oai:hal.archives-ouvertes.fr:hal-00453895 | |
| Contributeur : Import Ws Irstea | |
| Déposé pour le compte de : | |
| Soumis le : Vendredi 5 Février 2010, 18:38:59 | |
| Dernière modification le : Mardi 9 Février 2010, 16:12:57 | |
