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Spectral response function comparability among 21 satellite sensors for vegetation monitoring / Alemu Gonsamo in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 1 (March 2013)
[article]
Titre : Spectral response function comparability among 21 satellite sensors for vegetation monitoring Type de document : Article/Communication Auteurs : Alemu Gonsamo, Auteur ; Jing M. Chen, Auteur Année de publication : 2013 Article en page(s) : pp 1319 - 1335 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] capteur spatial
[Termes IGN] étalonnage radiométrique
[Termes IGN] modèle de transfert radiatif
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] réponse spectrale
[Termes IGN] surveillance de la végétationRésumé : (Auteur) Global and regional vegetation assessment strategies often rely on the combined use of multisensor satellite data. Variations in spectral response function (SRF) which characterizes the sensitivity of each spectral band have been recognized as one of the most important sources of uncertainty for the use of multisensor data. This paper presents the SRF differences among 21 Earth observation satellite sensors and their cross-sensor corrections for red, near infrared (NIR), and shortwave infrared (SWIR) reflectances, and normalized difference vegetation index (NDVI) aimed at global vegetation monitoring. The training data set to derive the SRF cross-sensor correction coefficients were generated from the state-of-the-art radiative transfer models. The results indicate that reflectances and NDVI from different satellite sensors cannot be regarded as directly equivalent. Our approach includes a polynomial regression and spectral curve information generated from a training data set representing a wide dynamics of vegetation distributions to minimize land cover specific SRF cross-sensor correction coefficient variations. The absolute mean SRF caused differences were reduced from 33.9% (20.1%) to 9.4 % (6%) for red, from 3.2 % (8.9%) to 1% (1.1% ) for NIR, from 2.9% (3.6 %) to 1.9% (1.6%) for SWIR, and from 7.1 % (9%) to 1.8% (1.7% ) for NDVI, after applying the SRF cross-sensor correction coefficients on independent top of canopy (top of atmosphere) data for all-embraced-sensor comparisons. Variations in processing strategies, non spectral differences, and algorithm preferences among sensor systems and data streams hinder cross-sensor spectra and NDVI comparability and continuity. The SRF cross-sensor correction approach provided here, however, can be used for studies aiming at large-scale vegetation monitoring with acceptable accuracy. Numéro de notice : A2013-125 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2198828 En ligne : https://doi.org/10.1109/TGRS.2012.2198828 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32263
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 3 Tome 1 (March 2013) . - pp 1319 - 1335[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013031A RAB Revue Centre de documentation En réserve L003 Disponible EuroSDR project Commission 1, Radiometric aspects of digital photogrammetric images / Eija Honkavaara (2013)
Titre : EuroSDR project Commission 1, Radiometric aspects of digital photogrammetric images : final report Type de document : Chapitre/Contribution Auteurs : Eija Honkavaara, Auteur ; Lauri Markelin, Auteur ; Roman Arbiol, Auteur ; Lucas Martinez, Auteur Editeur : Dublin : European Spatial Data Research EuroSDR Année de publication : 2013 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] équilibrage radiométrique
[Termes IGN] étalonnage radiométrique
[Termes IGN] image numérique
[Termes IGN] limite de résolution géométrique
[Termes IGN] modélisation radiométrique de prise de vue
[Termes IGN] pouvoir de résolution géométrique
[Termes IGN] précision radiométrique
[Termes IGN] qualité radiométrique (image)
[Termes IGN] réflectanceNote de contenu : 1. Introduction
2. Phase 1 - Review
3. Phase 2 - Empirical investigation - set-up
4. Phase 2 - Radiometric calibration and characterization of the sensor/system
5. Phase 2 - Spatial resolution assessment
6. Phase 2 - Reflectance image production and image block equalization
7. Phase 2 - Applications oriented investigations
8. Summary and discussion
9. ConclusionNuméro de notice : H2013-008 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Chapître / contribution Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75592 Absolute radiometric calibration of Earth radiation measurement on FY-3B and its comparison with CERES-Aqua data / H. Qiu in IEEE Transactions on geoscience and remote sensing, vol 50 n° 12 (December 2012)
[article]
Titre : Absolute radiometric calibration of Earth radiation measurement on FY-3B and its comparison with CERES-Aqua data Type de document : Article/Communication Auteurs : H. Qiu, Auteur ; L. Hu, Auteur ; Y. Zhang, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 4965 - 4974 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] étalonnage radiométrique
[Termes IGN] image Aqua
[Termes IGN] image Aqua-CERES
[Termes IGN] image Feng-Yun
[Termes IGN] rayonnement terrestreRésumé : (Auteur) The Earth Radiation Measurement (ERM) instrument onboard FengYun (FY)-3B satellite observes the Earth's atmosphere through a narrow scanning field of view (NFOV) and a wide nonscanning FOV. For each field of view, the measurements are made from two broadband channels: a total waveband channel covering 0.2-50 um and a shortwave (SW) band covering 0.2-4.3 um. The validation to the ERM calibration was carried out by comparing the unfiltered longwave (LW) and SW radiances from ERM with those from Clouds and Earth's Radiation Energy System (CERES) flight model 3 onboard Earth Observing System Aqua satellite. While the ERM LW and SW radiances have a good correlation with CERES data, there is a systemic bias between the two data sets. A spectral correction is made for the ERM data using the CERES data. After the correction, the error of the ERM LW radiance is reduced from -3.00 to -0.60 W/sr · m2. For the SW radiance, the bias is reduced from 6.00 to 4.00 W/sr · m2. Based on the ERM in-orbit calibration data, the stability of the ERM LW radiometric response is analyzed, and it is shown that the gains are stable with a variation of less than 1.5% during its first 9 months in orbit. However, the gains at the SW channels have larger changes and exceed 3%. These drifts might be caused by the detector degradation. Also, the NFOV scanner at the SW channel is no longer working after its 8 months in orbit. Numéro de notice : A2012-648 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2202668 Date de publication en ligne : 16/07/2012 En ligne : https://doi.org/10.1109/TGRS.2012.2202668 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32094
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 12 (December 2012) . - pp 4965 - 4974[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2012121 RAB Revue Centre de documentation En réserve L003 Disponible The EuroSDR project "radiometric aspects of digital photogrammetric images" : results of the empirical phase / Eija Honkavaara (01/06/2011)
Titre : The EuroSDR project "radiometric aspects of digital photogrammetric images" : results of the empirical phase Type de document : Article/Communication Auteurs : Eija Honkavaara, Auteur ; Roman Arbiol, Auteur ; Lauri Markelin, Auteur ; Lucas Martinez, Auteur ; Mathieu Brédif , Auteur ; Laure Chandelier , Auteur ; Lâmân Lelégard , Auteur ; et al., Auteur Editeur : Helsinki : Finnish Geodetic Institute FGI Année de publication : 01/06/2011 Conférence : ISPRS 2011, High-Resolution Earth Imaging for Geospatial Information workshop 14/06/2011 17/06/2011 Hanovre Allemagne OA ISPRS Archives Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] ADS40
[Termes IGN] DMC
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] étalonnage géométrique
[Termes IGN] étalonnage radiométrique
[Termes IGN] réflectance
[Termes IGN] uniformisation d'histogrammeRésumé : (Auteur) This article presents the empirical research carried out in the context of the multi-site EuroSDR project “Radiometric aspects of digital photogrammetric images” and provides highlights of the results. The investigations have considered the vicarious radiometric and spatial resolution validation and calibration of the sensor system, radiometric processing of the image blocks either by performing relative radiometric block equalization or into absolutely reflectance calibrated products, and finally aspects of practical applications on NDVI layer generation and tree species classification. The data sets were provided by Leica Geosystems ADS40 and Intergraph DMC and the participants represented stakeholders in National Mapping Authorities, software development and research. The investigations proved the stability and quality of evaluated imaging systems with respect to radiometry and optical system. The first new-generation methods for reflectance calibration and equalization of photogrammetric image block data provided promising accuracy and were also functional from the productivity and usability points of view. The reflectance calibration methods provided up to 5% accuracy without any ground reference. Application oriented results indicated that automatic interpretation methods will benefit from the optimal use of radiometrically accurate multi-view photogrammetric imagery. Numéro de notice : C2011-054 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication DOI : 10.5194/isprsarchives-XXXVIII-4-W19-123-2011 Date de publication en ligne : 07/09/2012 En ligne : http://dx.doi.org/10.5194/isprsarchives-XXXVIII-4-W19-123-2011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64373
contenu dans Photogrammetric image analysis PIA 11, Munich, Germany, October 5-7, 2011 / Uwe Stilla (2011)
Titre : Multiscale Haar transform for blur estimation from a set of images Type de document : Article/Communication Auteurs : Lâmân Lelégard , Auteur ; Bruno Vallet , Auteur ; Mathieu Brédif , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2011 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3/W22 Conférence : PIA 2011, ISPRS Conference on Photogrammetric Image Analysis 05/10/2011 07/10/2011 Munich Allemagne OA ISPRS Archives Importance : pp 65 - 70 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] acuité stéréoscopique
[Termes IGN] contour
[Termes IGN] étalement radiométrique
[Termes IGN] étalonnage radiométrique
[Termes IGN] filtre de Gauss
[Termes IGN] flou
[Termes IGN] netteté
[Termes IGN] ondelette de Haar
[Termes IGN] orthophotoplan numérique
[Termes IGN] tâche image d'un pointRésumé : (auteur) This paper proposes a method to estimate the local sharpness of an optical system through the wavelet-based analysis of a large set of images it acquired. Assuming a space-invariant distribution of image features, such as in the aerial photography context, the proposed approach produces a sharpness map of the imaging device over 16x16 pixels blocks that enables, for instance, the detection of optical defects and the qualification of the mosaicking of multiple sensor images into a larger composite image. The proposed analysis is based on accumulating of the edge maps corresponding to the first levels of the Haar Transform of each image of the dataset, following the intuition that statistically, each pixel will see the same image structures. We propose a calibration method to transform these accumulated edge maps into a sharpness map by approximating the local PSF (Point Spread Function) with a Gaussian blur. Numéro de notice : C2011-036 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprsarchives-XXXVIII-3-W22-65-2011 Date de publication en ligne : 26/04/2013 En ligne : https://doi.org/10.5194/isprsarchives-XXXVIII-3-W22-65-2011 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92340 Documents numériques
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