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Termes IGN > imagerie > image numérique > image optique > image multibande
image multibandeSynonyme(s)Image xs ;Image multispectrale donnees multispectralesVoir aussi |
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vol 30 n° 20 - October 2009 - Accuracy 2008, [actes], spatial accuracy in remote sensing, Shangai, 25 - 27 June 2008 (Bulletin de International Journal of Remote Sensing IJRS) / Jingxiong ZhangExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-09121 RAB Revue Centre de documentation En réserve L003 Exclu du prêt vol 30 n° 19 - October 2009 - ForestSat 2007, [actes], operational tools in forestry using remote sensing techniques, Montpellier, 5 - 7 November 2007 (Bulletin de International Journal of Remote Sensing IJRS) / Ronald E. McRoberts
[n° ou bulletin]
est un bulletin de International Journal of Remote Sensing IJRS / Remote sensing and photogrammetry society (1980 -)
Titre : vol 30 n° 19 - October 2009 - ForestSat 2007, [actes], operational tools in forestry using remote sensing techniques, Montpellier, 5 - 7 November 2007 Type de document : Périodique Auteurs : Ronald E. McRoberts, Éditeur scientifique ; Daniel N.M. Donoghue, Éditeur scientifique ; Remote sensing and photogrammetry society, Auteur ; Michel Deshayes, Éditeur scientifique Année de publication : 2009 Conférence : ForestSat 2007, forests and remote sensing : methods and operational tools 05/11/2007 07/11/2007 Montpellier France OA Proceedings Importance : 404 p. Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] détection de changement
[Termes IGN] données laser
[Termes IGN] estimation quantitative
[Termes IGN] image multibande
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] sylviculture
[Termes IGN] télédétection spatialeNuméro de notice : 080-0911 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Numéro de périodique En ligne : https://www.tandfonline.com/toc/tres20/30/19?nav=tocList Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=9943 [n° ou bulletin]Contient
- Land use monitoring by remote sensing in tropical forest areas in support of the Kyoto Protocol: the case of French Guiana / Nicolas Stach in International Journal of Remote Sensing IJRS, vol 30 n° 19 (October 2009)
- Advanced full-waveform lidar data echo detection: assessing quality of derived terrain and tree height models in an alpine coniferous forest / Adrien Chauve in International Journal of Remote Sensing IJRS, vol 30 n° 19 (October 2009)
Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-09111 RAB Revue Centre de documentation En réserve L003 Exclu du prêt A Wavelet and IHS integration method to fuse high resolution SAR with moderate resolution multispectral images / G. Hong in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 10 (October 2009)
[article]
Titre : A Wavelet and IHS integration method to fuse high resolution SAR with moderate resolution multispectral images Type de document : Article/Communication Auteurs : G. Hong, Auteur ; Y. Zhang, Auteur ; J. Bryan Mercer, Auteur Année de publication : 2009 Article en page(s) : pp 1213 - 1223 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] fusion d'images
[Termes IGN] image à haute résolution
[Termes IGN] image à très haute résolution
[Termes IGN] image Landsat-TM
[Termes IGN] image multibande
[Termes IGN] image radar moirée
[Termes IGN] image Radarsat
[Termes IGN] précision millimétrique
[Termes IGN] résolution multiple
[Termes IGN] transformation en ondelettes
[Termes IGN] transformation intensité-teinte-saturationRésumé : (Auteur) Synthetic aperture radar (SAR) imaging can be a feasible alternative or a complement to traditional optical remote sensing techniques because it does not depend on solar illumination and weather conditions. The high spatial resolution of SAR, such as the Intermap STAR-3i airborne SAR image with 1.25 m spatial resolution, makes it applicable for high spatial resolution mapping purposes. However, difficulties sometimes exist in the interpretation of SAR images. Image fusion presents an alternative to improve the interpretability of SAR images by fusing the color information from moderate spatial resolution multispectral (MS) images. In this paper, a new fusion method based on the integration of wavelet transform and IHS (Intensity, Hue, and Saturation) transform is proposed for SAR and MS fusion to maintain the spectral content of the original MS image while retaining the spatial detail of the high-resolution SAR image. Three data sets are used to evaluate the proposed fusion method: two sets are airborne SAR images with MS images at different spatial resolutions; the other set is a Radarsat image with a Landsat TM image. The fusion results are evaluated visually and statistically. The evaluation shows that successful results are achieved in the fusion of all SAR and MS images from a variety of sensors with significant spatial and spectral variations by using the proposed image fusion method. Numéro de notice : A2009-420 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.10.1213 En ligne : https://doi.org/10.14358/PERS.75.10.1213 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30051
in Photogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 10 (October 2009) . - pp 1213 - 1223[article]Fusion of multi-spectral SPOT-5 images and very high resolution texture information extracted from digital orthophotos for automatic classification of complex Alpine areas / C. Mariz in International Journal of Remote Sensing IJRS, vol 30 n°11-12 (June 2009)
[article]
Titre : Fusion of multi-spectral SPOT-5 images and very high resolution texture information extracted from digital orthophotos for automatic classification of complex Alpine areas Type de document : Article/Communication Auteurs : C. Mariz, Auteur ; D. Gianelle, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 2859 - 2873 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] alpes orientales
[Termes IGN] carte de la végétation
[Termes IGN] classe d'objets
[Termes IGN] classification automatique
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] fusion d'images
[Termes IGN] image à très haute résolution
[Termes IGN] image multibande
[Termes IGN] image SPOT 5
[Termes IGN] orthoimage
[Termes IGN] texture d'image
[Termes IGN] TrenteRésumé : (Auteur) In areas with complex three-dimensional features, slope and aspect interact with light conditions and significantly affect the spatial structure of images acquired by remote sensing instruments (for example, by changing the distribution of shadows and affecting the texture of high resolution imagery). In this scenario, this paper analyses the potential and the effectiveness of an automatic classification system to identify three fundamental vegetation classes (forest, grassland and crops) in the complex topography of the Italian Alps (Autonomous Province of Trento, Italy). This classification system is based on the fusion of spectral information provided by the SPOT-5 multi-spectral channels (Ground Instantaneous Field of View, GIFOV, equal to 10 m) and textural information extracted from airborne digital orthophotos (GIFOV equal to 1 m) and is designed to be user-friendly. The texture of the digital orthophotos was modelled using defined bidirectional variograms, thereby extracting additional information unavailable in first-order texture analyses. Using SPOT-5 multi-spectral information alone, the classification accuracy in the investigated alpine area was equal to 87.5%, but increased to 92.1% when texture information was included. In particular, the texture information significantly increased the classification accuracy for crops (from 68.9% to 87.9%), especially orchards that tend to be classified as lowland deciduous forests, and herbaceous crops (such as maize) that are often misclassified as grasslands. A further simple majority analysis increased the ability of detecting grassland, crops and urban zones. The combination of the majority analysis and the proposed automatic classification system seems an effective approach to classifying vegetation types in highly fragmented and complex Alpine landscapes on a regional scale. Copyright Taylor & Francis Numéro de notice : A2009-258 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160802558600 En ligne : https://doi.org/10.1080/01431160802558600 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29888
in International Journal of Remote Sensing IJRS > vol 30 n°11-12 (June 2009) . - pp 2859 - 2873[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-09071 RAB Revue Centre de documentation En réserve L003 Disponible Fusion of multispectral and panchromatic images using a restoration-based method / Z. Li in IEEE Transactions on geoscience and remote sensing, vol 47 n° 5 (May 2009)
[article]
Titre : Fusion of multispectral and panchromatic images using a restoration-based method Type de document : Article/Communication Auteurs : Z. Li, Auteur ; Henry Leung, Auteur Année de publication : 2009 Article en page(s) : pp 1482 - 1491 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] fusion d'images
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] résolution multiple
[Termes IGN] restauration d'imageRésumé : (Auteur) Many remote-sensing satellites can obtain images in multispectral and panchromatic bands. By fusing low-resolution multispectral and high-resolution panchromatic images, one can obtain high-resolution multispectral images. In this paper, an image fusion algorithm based on image restoration is proposed to combine multispectral and panchromatic images. For remote-sensing satellites, the wavelength of the panchromatic band usually covers the wavelengths of the multispectral bands. This relationship between the two kinds of images is useful for fusion. In our approach, the low-resolution multispectral images are first resampled to the scale of the high-resolution panchromatic image. The relationship between these two kinds of images is then used to restore the resampled multispectral images. That is, the resampled multispectral images are modeled as the noisy blurred versions of the ideal multispectral images, and the high-resolution panchromatic image is modeled as a linear combination of the ideal multispectral images plus the observation noise. The ideal high-resolution multispectral images are then estimated based on the panchromatic and the resampled multispectral images. A closed-form solution of the fused images is derived here. Experiments show that the proposed fusion algorithm works effectively in integrating multispectral and panchromatic images. Copyright IEEE Numéro de notice : A2009-149 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.2005639 En ligne : https://doi.org/10.1109/TGRS.2008.2005639 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29779
in IEEE Transactions on geoscience and remote sensing > vol 47 n° 5 (May 2009) . - pp 1482 - 1491[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-09051 RAB Revue Centre de documentation En réserve L003 Disponible Merging hyperspectral and panchromatic image data: qualitative and quantitative analysis / M. Cetin in International Journal of Remote Sensing IJRS, vol 30 n° 7 (April 2009)PermalinkEvaluating AISA+ hyperspectral imagery for mapping black mangrove along the South Texas gulf coast / C. Yang in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 4 (April 2009)PermalinkMorphology-based building detection from airborne Lidar data / X. Meng in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 4 (April 2009)PermalinkUtilisation d'images satellites à haute résolution pour la gestion du territoire de la ville de Luanda (Angola) / Valerio Baiocchi in Géomatique expert, n° 67 (01/02/2009)PermalinkAutomatde co-registration of images from multiple bands of LISS-4 camera / P. Radhadevi in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)PermalinkRegion based segmentation of Quickbird multispectral imagery through band ratios and fuzzy comparison / B. Wuest in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)PermalinkRemote sensing of soil salinization / G. Metternicht (2009)PermalinkAutomated derivation of bathymetric information from multi-spectral satellite imagery using a non-linear inversion model / H. Su in Marine geodesy, vol 31 n° 4 (December 2008)PermalinkClassification of very high spatial resolution imagery based on the fusion of edge and multispectral information / X. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)PermalinkA knowledge-based approach to urban feature classification using aerial imagery with Lidar data / M. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)Permalink