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The Pleiades-HR mosaic system product / Françoise de Lussy in Revue Française de Photogrammétrie et de Télédétection, n° 184 (Décembre 2006)
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contenu dans ISPRS Commission 1 Symposium 2006, Paris, Marne-la-Vallée, 3-6 Juillet 2006: Des capteurs à l'imagerie, 2. Tome 2 / Alain Baudoin (2006)
Titre : The Pleiades-HR mosaic system product Type de document : Article/Communication Auteurs : Françoise de Lussy, Auteur ; Patrick Gigord, Auteur ; Sylvain Airault , Auteur
Année de publication : 2006 Conférence : ISPRS 2006, Commission 1 Symposium, From sensors to imagery 03/07/2006 06/07/2006 Champs-sur-Marne [Paris Marne-la-Vallée] France OA ISPRS Archives Article en page(s) : pp 70 - 75 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] image à résolution submétrique
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] image Pléiades-HR
[Termes IGN] limite de résolution géométrique
[Termes IGN] mosaïquage d'images
[Termes IGN] orthoimage
[Termes IGN] orthophotoplan numérique
[Termes IGN] Pleiades-HR
[Termes IGN] satellite agile
[Termes IGN] valeur radiométriqueRésumé : (Auteur) Pleiades is the highest resolution civilian earth observing system ever developed in Europe. This imagery program is conducted by the French National Space Agency, CNES. It will operate in 2009-2010 two agile satellites designed to provide optical images to civilian and defense users. Images will be simultaneously acquired in Panchromatic (PA) and multispectral (XS) mode, which allows, in Nadir acquisition condition, to deliver 20 km wide, false or natural colored scenes with a 70 cm ground sampling distance after PA+XS fusion. Imaging capabilities have been highly optimized in order to acquire along-track stereo pairs and triplets, multi-targets and mosaics. The automatic orthomosaic product is the most ambitious innovation of the PHR ground image processing. Starting from an overview of the system characteristics enabling acquisition suitable for mosaic, this paper presents the geometric, radiometric and topological issues of the automatic ortho-mosaic and then focuses on the processing flow. It details the different steps: strategy, bundle adjustment, DEM refining, radiometric adjustment, seam line computation, a helped and quick image quality check and finally mosaic rectification. The process capabilities are illustrated with different sensor images. And finally the ortho-mosaic product content is described. Copyright SFPT Numéro de notice : A2006-639 Affiliation des auteurs : IGN+Ext (1940-2011) Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/part1/Papers/T02-09.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28362
in Revue Française de Photogrammétrie et de Télédétection > n° 184 (Décembre 2006) . - pp 70 - 75[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 018-06041 RAB Revue Centre de documentation En réserve L003 Disponible Documents numériques
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The Pleiades-HR mosaic... - pdf editeur ISPRSAdobe Acrobat PDFMapping salt-marsh vegetation by multispectral and hyperspectral remote sensing / E. Belluco in Remote sensing of environment, vol 105 n° 1 (15/11/2006)
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Titre : Mapping salt-marsh vegetation by multispectral and hyperspectral remote sensing Type de document : Article/Communication Auteurs : E. Belluco, Auteur ; M. Camuffo, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 54 - 67 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte de la végétation
[Termes IGN] classification dirigée
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] flore locale
[Termes IGN] image CASI
[Termes IGN] image hyperspectrale
[Termes IGN] image Ikonos
[Termes IGN] image MIVIS
[Termes IGN] image multibande
[Termes IGN] image Quickbird
[Termes IGN] image ROSIS
[Termes IGN] marais salé
[Termes IGN] plante halophile
[Termes IGN] VeniseRésumé : (Auteur) Tidal marshes are characterized by complex patterns both in their geomorphic and ecological features. Such patterns arise through the elaboration of a network structure driven by the tidal forcing and through the interaction between hydrodynamical, geophysical and ecological components (chiefly vegetation). Intertidal morphological and ecological structures possess characteristic extent (order of kilometers) and small-scale features (down to tens of centimeters) which are not simultaneously accessible through field observations, thus making remote sensing a necessary observation tool. This paper describes a set of remote sensing observations from several satellite and airborne platforms, the collection of concurrent ground reference data and the vegetation distributions that may be inferred from them, with specific application to the Lagoon of Venice (Italy). The data set comprises ROSIS, CASI, MIVIS, IKONOS and QuickBird acquisitions, which cover a wide range of spatial and spectral resolutions. We show that spatially-detailed and quantitatively reliable vegetation maps may be derived from remote sensing in tidal environments through unsupervised (K-means) and supervised algorithms (Maximum Likelihood and Spectral Angle Mapper). We find that, for the objective of intertidal vegetation classification, hyperspectral data contain largely redundant information. This in particular implies that a reduction of the spectral features is required for the application of the Maximum Likelihood classifier. A large number of experiments with different feature extraction/selection algorithms show that the use of four bands derived from Maximum Noise Fraction transforms and four RGBI broad bands obtained by spectral averaging yield very similar classification performances. The classifications from hyperspectral data are somewhat superior to those from multispectral data, but the close performance and the results of the features reduction experiments show that spatial resolution affects classification accuracy much more importantly than spectral resolution. Monitoring schemes of tidal environment vegetation may thus be based on high-resolution satellite acquisitions accompanied by systematic ancillary field observations at a relatively limited number of reference sites, with practical consequences of some relevance. Copyright Elsevier Numéro de notice : A2006-502 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.06.006 En ligne : https://doi.org/10.1016/j.rse.2006.06.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28226
in Remote sensing of environment > vol 105 n° 1 (15/11/2006) . - pp 54 - 67[article]Exploiting class hierarchies for knowledge transfer in hyperspectral data / S. Rajan in IEEE Transactions on geoscience and remote sensing, vol 44 n° 11 Tome 2 (November 2006)
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Titre : Exploiting class hierarchies for knowledge transfer in hyperspectral data Type de document : Article/Communication Auteurs : S. Rajan, Auteur ; J. Ghosh, Auteur ; Melba M. Crawford, Auteur Année de publication : 2006 Article en page(s) : pp 3408 - 3417 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] classification non dirigée
[Termes IGN] données multitemporelles
[Termes IGN] image hyperspectrale
[Termes IGN] signature spectraleRésumé : (Auteur) Obtaining ground truth for classification of remotely sensed data is time consuming and expensive, resulting in poorly represented signatures over large areas. In addition, the spectral signatures of a given class vary with location and/or time. Therefore, successful adaptation of a classifier designed from the available labeled data to classify new hyperspectral images acquired over other geographic locations or subsequent times is difficult, if minimal additional labeled data are available. In this paper, the binary hierarchical classifier is used to propose a knowledge transfer framework that leverages the information extracted from the existing labeled data to classify spatially separate and multitemporal test data. Experimental results show that in the absence of any labeled data in the new area, the approach is better than a direct application of the original classifier on the new data. Moreover, when small amounts of the labeled data are available from the new area, the framework offers further improvements through semisupervised learning mechanisms and compares favorably with previously proposed methods. Copyright IEEE Numéro de notice : A2006-528 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.878442 En ligne : https://doi.org/10.1109/TGRS.2006.878442 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28251
in IEEE Transactions on geoscience and remote sensing > vol 44 n° 11 Tome 2 (November 2006) . - pp 3408 - 3417[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-06111B RAB Revue Centre de documentation En réserve L003 Disponible Spectral normalisation and fusion of optical sensors for the retrieval of BRDF and albedo: application to vegetation, MODIS, and MERIS data sets / O. Samain in IEEE Transactions on geoscience and remote sensing, vol 44 n° 11 Tome 1 (November 2006)
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Titre : Spectral normalisation and fusion of optical sensors for the retrieval of BRDF and albedo: application to vegetation, MODIS, and MERIS data sets Type de document : Article/Communication Auteurs : O. Samain, Auteur ; Bernhard Geiger, Auteur ; Jean-Louis Roujean, Auteur Année de publication : 2006 Article en page(s) : pp 3166 - 3179 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Afrique occidentale
[Termes IGN] albedo
[Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes IGN] fusion d'images
[Termes IGN] image à moyenne résolution
[Termes IGN] image Envisat-MERIS
[Termes IGN] image multicapteur
[Termes IGN] image optique
[Termes IGN] image SPOT-Végétation
[Termes IGN] image Terra-MODIS
[Termes IGN] série temporelle
[Termes IGN] signature spectraleRésumé : (Auteur) This paper aims at demonstrating the possibility of merging data from various medium-resolution spaceborne sensors to produce a consistent time series of surface bidirectional reflectance distribution function (BRDF) and albedo products. The spectral, directional, temporal, and spatial aspects of the multisensor fusion are presented. Emphasis is then given on the spectral normalization for the fusion of Medium Resolution Imaging Spectrometer Instrument (MERIS) data with Moderate Resolution Imaging Spectroradiometer (MODIS) and VEGETATION (VGT) data. Two methods are evaluated: a simple statistical method, which relies on a linear regression using all the available spectral bands, and a more innovative method called the spectral mode method, which is based on the restitution of the surface spectral signature by a combination of universal spectral functions. Analysis with Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) hyperspectral data and satellite products reveals that the spectral mode method is more efficient. This approach is used to merge top-of-canopy bidirectional reflectances from MERIS and VGT for the restitution of BRDF and albedo over a subset of West Africa. Compared to the products obtained with MERIS alone, the fusion with VGT demonstrates an improvement of the spatial coverage and a reduction of product uncertainty by about a third. Copyright IEEE Numéro de notice : A2006-509 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.879545 En ligne : https://doi.org/10.1109/TGRS.2006.879545 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28233
in IEEE Transactions on geoscience and remote sensing > vol 44 n° 11 Tome 1 (November 2006) . - pp 3166 - 3179[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-06111A RAB Revue Centre de documentation En réserve L003 Disponible Mapping damage in the Jammu and Kashmir caused by 8 October 2005 mw 7.3 earthquakes from the Cartosat-1 and Resourcesat-1 imagery / K. Vinod Kumar in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)
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Titre : Mapping damage in the Jammu and Kashmir caused by 8 October 2005 mw 7.3 earthquakes from the Cartosat-1 and Resourcesat-1 imagery Type de document : Article/Communication Auteurs : K. Vinod Kumar, Auteur ; T.R. Martha, Auteur ; P.S. Roy, Auteur Année de publication : 2006 Article en page(s) : pp 4449 - 4459 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] cartographie des risques
[Termes IGN] dommage matériel
[Termes IGN] effondrement de terrain
[Termes IGN] faille géologique
[Termes IGN] Himalaya
[Termes IGN] image Cartosat-1
[Termes IGN] image IRS-LISS
[Termes IGN] image IRS-P6
[Termes IGN] image panchromatique
[Termes IGN] Inde
[Termes IGN] modèle stéréoscopique
[Termes IGN] séismeRésumé : (Auteur) A massive earthquake of Mw = 7.3 struck the western Himalaya on 8 October 2005 at 03:50:40 (UTC) causing widespread damage to property and lives. This earthquake is the result of thrusting of the Indian plate under the Eurasian plate. It is one of the deadliest earthquakes in South Asia in recent times. The recently launched Indian remote sensing satellite Cartosat–1, providing 2.5 m panchromatic along-track stereoscopic data have been analysed for damage assessment along with Resourcesat–1 multispectral data for understanding the regional tectonics. In this study, nearly 25% of the buildings are identified as fully collapsed in Uri and Punch region of the Jammu and Kashmir, India. Other damage such as bridge collapse, road blockage owing to landslides etc. is also identified from the satellite data. The coseismic landslides show clear spatial association with the pre-existing faults such as the Jhelum Fault and Main Boundary Thrust (MBT). A new trend in the alignment of landslides is found, which indicates reactivation of a new fault in this region. The effectiveness of the fine resolution stereoscopic satellite data for damage assessment in rugged mountainous terrain is also highlighted in this study. Copyright Taylor & Francis Numéro de notice : A2006-467 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600702376 En ligne : https://doi.org/10.1080/01431160600702376 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28191
in International Journal of Remote Sensing IJRS > vol 27 n°18 - 19 - 20 (October 2006) . - pp 4449 - 4459[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-06101 RAB Revue Centre de documentation En réserve L003 Disponible La transformation en ondelettes pour l'extraction de la texture-couleur : application à la classification combinée des images (HRV) de SPOT / A. Safia in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)
PermalinkA pixel shape index coupled with spectral information for classification of high spatial resolution remotely sensed imagery / L. Zhang in IEEE Transactions on geoscience and remote sensing, vol 44 n° 10 Tome 2 (October 2006)
PermalinkThe use of optic and radar satellite data for coastal environments / Z.D. Uca in International Journal of Remote Sensing IJRS, vol 27 n° 17 (September 2006)
PermalinkCartographie géologique télé-analytique, influence de la résolution spatiale : application à la région de Kawkaban-Sana'a-Ma'rib (Republique du Yemen) / J.P. Deroin in Photo interprétation, vol 42 n° 3 (Septembre 2006)
PermalinkEvaluation of hyperspectral data for geological mapping / Muneendra Kumar in Geoinformatics, vol 9 n° 6 (01/09/2006)
PermalinkEvaluation of resolving power and MTF of DMC / Eija Honkavaara in Revue Française de Photogrammétrie et de Télédétection, n° 183 (Septembre 2006)
PermalinkGeoEye-1 satellite coming / K. Corbley in GEO: Geoconnexion international, vol 5 n° 8 (september 2006)
PermalinkHigh-end aerial digital cameras and their impact on the automation and quality of the production workflow / Nicolas Paparoditis in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 6 (September 2006)
PermalinkThe contribution of remote sensing to the assessment of drought effects in forest ecosystems / Michel Deshayes in Annals of Forest Science, Vol 63 n° 6 (september 2006)
PermalinkTowards 3D map generation from digital aerial images / L. Zebelin in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 6 (September 2006)
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