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Comparative alteration mineral mapping using visible to shortwave infrared (0.4-2.4 um) Hyperion, ALI, and ASTER imagery / B. Hubbard in IEEE Transactions on geoscience and remote sensing, vol 41 n° 6 (June 2003)
[article]
Titre : Comparative alteration mineral mapping using visible to shortwave infrared (0.4-2.4 um) Hyperion, ALI, and ASTER imagery Type de document : Article/Communication Auteurs : B. Hubbard, Auteur ; J.K. Crowley, Auteur ; D.R. Zimbelman, Auteur Année de publication : 2003 Article en page(s) : pp 1401 - 1410 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande infrarouge
[Termes IGN] bande visible
[Termes IGN] cartographie thématique
[Termes IGN] Cordillère des Andes
[Termes IGN] géologie locale
[Termes IGN] image EO1-ALI
[Termes IGN] image EO1-Hyperion
[Termes IGN] image hyperspectrale
[Termes IGN] image infrarouge
[Termes IGN] image multibande
[Termes IGN] image Terra-ASTER
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] roche
[Termes IGN] volcanologieRésumé : (Auteur) Advanced Land Imager (ALI), Advanced SpaceThermal Emission and Reflection Radiometer (ASTER), and Hyperion imaging spectrometer data covering an area in the Central Andes between Volcan Socompa and Salar de Llullaillaco were used to map hydrothermally altered rocks associated with young volcanic systems. Six ALI channels in the visible and near-infrared wavelength range (0.4-1.0 um) were useful discriminating between ferric-iron alteration minerals based on the spectral shapes of electronic absorption features seen in continuum-removed spectra. Six ASTER channels in the short wavelength infrared (1.0-2.5 um) enabled distinctions between clay and sulfate mineral types based on the positions of band related to Al-OH vibrational absorption features. Hypeimagery embedded in the broader image coverage of ALI and ASTER provided essential leverage for calibrating and improving the mapping accuracy of the multispectral data. This capability is especially valuable in remote areas of the earth where available geologic and other ground truth information is limited. Numéro de notice : A2003-218 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.812906 En ligne : https://doi.org/10.1109/TGRS.2003.812906 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22514
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 6 (June 2003) . - pp 1401 - 1410[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03061 RAB Revue Centre de documentation En réserve L003 Disponible Fusion of hyperspectral and radar data using the IHS transformation to enhance urban surface features / C.M. Chen in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 1-2 (June - December 2003)
[article]
Titre : Fusion of hyperspectral and radar data using the IHS transformation to enhance urban surface features Type de document : Article/Communication Auteurs : C.M. Chen, Auteur ; G.F. Hepner, Auteur ; R.R. Forster, Auteur Année de publication : 2003 Article en page(s) : pp 19 - 30 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] accentuation d'image
[Termes IGN] avalanche
[Termes IGN] effondrement de terrain
[Termes IGN] fusion d'images
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] image radar
[Termes IGN] image TOPSAR
[Termes IGN] limite de résolution radiométrique
[Termes IGN] milieu urbain
[Termes IGN] modèle numérique de terrain
[Termes IGN] occupation du sol
[Termes IGN] risque naturel
[Termes IGN] transformation intensité-teinte-saturation
[Termes IGN] visualisation 3D
[Termes IGN] vue perspectiveRésumé : (Auteur) The Intensity Hue Saturation (IHS) transformation is used to integrate the high spectral resolution, provided by hyperspectral data (Airborne Visible Infrared Imaging Spectrometer, AVIRIS), and the surface texture information, derived from radar data (Topographic Synthetic Aperture Radar, TOPSAR), into a single image of an urban area. This transformed image is superimposed on the Digital Elevation Model (DEM) data derived from TOPSAR data to create a 3D perspective view. The ambiguity of several urban land cover types is resolved to a larger degree using the higher spectral and spatial resolutions and the synergistic visual content provided by the fused image in a 3D perspective. For urban areas that are at risk from geological hazards (e.g., avalanches, mudflows, and debris flows), the fused image provides a costeffective product, rich in the information necessary for assessment and mitigation of these hazards. Copyright ISPRS Numéro de notice : A2003-085 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/S0924-2716(03)00014-5 En ligne : https://doi.org/10.1016/S0924-2716(03)00014-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22381
in ISPRS Journal of photogrammetry and remote sensing > vol 58 n° 1-2 (June - December 2003) . - pp 19 - 30[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-03032 RAB Revue Centre de documentation En réserve L003 Disponible 081-03031 RAB Revue Centre de documentation En réserve L003 Disponible Fusion of spectral and shape features for identification of urban surface cover types using reflective and thermal hyperspectral data / Karl Segl in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 1-2 (June - December 2003)
[article]
Titre : Fusion of spectral and shape features for identification of urban surface cover types using reflective and thermal hyperspectral data Type de document : Article/Communication Auteurs : Karl Segl, Auteur ; S. Roessner, Auteur ; U. Heiden, Auteur ; H. Kaufmann, Auteur Année de publication : 2003 Article en page(s) : pp 99 - 112 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] biotope
[Termes IGN] carte d'occupation du sol
[Termes IGN] fusion d'images
[Termes IGN] image DAIS
[Termes IGN] image hyperspectrale
[Termes IGN] image thermique
[Termes IGN] milieu urbain
[Termes IGN] morphologie mathématique
[Termes IGN] photo-interprétation assistée par ordinateur
[Termes IGN] pixel
[Termes IGN] reconnaissance de formes
[Termes IGN] réflectance
[Termes IGN] utilisation du solRésumé : (Auteur) The urban environment is characterized by an intense multifunctional use of available spaces, where the preservation of open green spaces is of special importance. For this purpose, areawide urban biotope mapping based on CIR aerial photographs has been carried out for the large cities in Germany during the last 10 years. Because of dynamic urban development and high mapping costs, the municipal authorities are interested in effective methods for mapping urban surface cover types, which can be used for evaluation of ecological conditions in urban structures and supporting updates of biotope maps. Against this background, airborne hyperspectral remote sensing data of the DAIS 7915 instrument have been analyzed for a test site in the city of Dresden (Germany) with regard to their potential for automated materialoriented identification of urban surface cover types. Previous investigations have shown that the high spectral and spatial variabilities of these data require the development of special methods, which are capable of dealing with the resulting mixedpixel problem in its specific characteristics in urban areas. Earlier, methodological developments led to an approach based on a combination of spectral classification and pixeloriented unmixing techniques to facilitate sensible endmember selection based on the reflective bands of the DAIS instrument. This approach is now extended by a shapebased classification technique including the thermal bands of the DAIS instrument to improve the detection of buildings during the process of identifying seedling pixels, which represent the starting points for linear spectral unmixing. This new approach increases the reliability of differentiation between buildings and open spaces, leading to more accurate results for the spatial distribution of surface cover types. Thus, the new approach significantly enhances the exploitation of the information potential of the hyperspectral DAIS 7915 data for an areawide identification of urban surface cover types. Copyright ISPRS Numéro de notice : A2003-088 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/S0924-2716(03)00020-0 En ligne : https://doi.org/10.1016/S0924-2716(03)00020-0 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22384
in ISPRS Journal of photogrammetry and remote sensing > vol 58 n° 1-2 (June - December 2003) . - pp 99 - 112[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-03032 RAB Revue Centre de documentation En réserve L003 Disponible 081-03031 RAB Revue Centre de documentation En réserve L003 Disponible Processing Hyperion and ALI for forest classification / D.G. Goodenough in IEEE Transactions on geoscience and remote sensing, vol 41 n° 6 (June 2003)
[article]
Titre : Processing Hyperion and ALI for forest classification Type de document : Article/Communication Auteurs : D.G. Goodenough, Auteur ; A. Dyk, Auteur ; K.O. Niemann, Auteur ; et al., Auteur Année de publication : 2003 Article en page(s) : pp 1321 - 1337 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] Canada
[Termes IGN] classification dirigée
[Termes IGN] correction d'image
[Termes IGN] Etats-Unis
[Termes IGN] forêt
[Termes IGN] image EO1-ALI
[Termes IGN] image EO1-Hyperion
[Termes IGN] image hyperspectrale
[Termes IGN] image Landsat-ETM+
[Termes IGN] image multibande
[Termes IGN] Pinophyta
[Termes IGN] Pinus contorta
[Termes IGN] Pseudotsuga menziesii
[Termes IGN] Thuja plicataRésumé : (Auteur) Hyperion (a hyperspectral sensor) and the Advanced Land Imager (ALI) (a multispectral sensor) are carried on the National Aeronautics and Space Administration's Earth Observing 1 (EO-1) satellite. The Evaluation and Validation of EO-1 for substainable Development (EVEOSD) is our project supporting the EO-1 mission. With 10% of the world's forests and the second country by area in the world, Canada has a natural requirement for effective monitoring of its forests. Eight test sites have been selected for EVEOSD, with seven in Canada and one United States. Extensive fieldwork has been conducted at four of these sites. A comparison is made of forest classification from Hyperion, ALI, and the Enhanced Thematic Mapper (ETM+) of Landsat-7 for the Greater Victoria Watershed. The data have been radiometrically corrected and orthorectified. Feature selection and statistical transforms are used to reduce the Hyperion feature space from 198 channels to 11 features. Classes chosen for discrimination included Douglasfir, hemlock, western, redcedar, lodgepole pine, and red alder. Overall classification accuracies obtained for each sensor were Hyperion 90.0 %, ALI 84.8% and ETM+ 75.0%. Hyperspectral remote sensing provides significant advantages and greater accuracies over ETM+ for forest discrimination. The EO-1 sensors, Hyperion and ALI, provide data with excellent discrimination for Pacific Northwest in comparison to Landsat-7 ETM+. Numéro de notice : A2003-216 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.813214 En ligne : https://doi.org/10.1109/TGRS.2003.813214 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22512
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 6 (June 2003) . - pp 1321 - 1337[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03061 RAB Revue Centre de documentation En réserve L003 Disponible Hyperspectral texture recognition using a multiscale opponent representation / M. Shi in IEEE Transactions on geoscience and remote sensing, vol 41 n° 5 (May 2003)
[article]
Titre : Hyperspectral texture recognition using a multiscale opponent representation Type de document : Article/Communication Auteurs : M. Shi, Auteur ; G. Healey, Auteur Année de publication : 2003 Article en page(s) : pp 1090 - 1095 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse en composantes principales
[Termes IGN] analyse multiéchelle
[Termes IGN] bande infrarouge
[Termes IGN] bande spectrale
[Termes IGN] filtre de Gabor
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] reconnaissance de formes
[Termes IGN] spectromètre imageur
[Termes IGN] texture d'imageRésumé : (Auteur) We use Gabor filters to extract texture features at different scales and orientations from hyperspectral images. The texture features are derived from both individual bands and combinations of bands. We consider both spectral binning and principal components analysis for reducing the dimensionality of the input data. Using a database of Airborne Visible Infrared Imaging Spectrometer image regions, we evaluate the performance of this approach for recognizing hyperspectral textures. We show that opponent features that consider combinations of spectral bands often help improve performance. We also examine the dependence of recognition performance on the dimensionality reduction strategy and the number of spectral bands. Numéro de notice : A2003-208 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.811076 En ligne : https://doi.org/10.1109/TGRS.2003.811076 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22504
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 5 (May 2003) . - pp 1090 - 1095[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03051 RAB Revue Centre de documentation En réserve L003 Disponible Etude de zones humides à partir d'images hyperspectrales CASI : application aux fonds de vallée du massif armoricain / Laurence Hubert-Moy in Photo interprétation, vol 39 n° 1 (Avril 2003)PermalinkPrincipal-components-based display strategy for spectral imagery / J.S. Tyo in IEEE Transactions on geoscience and remote sensing, vol 41 n° 3 (March 2003)PermalinkAIRS-AMSU-HSB on the Aqua mission: design, science objectives, data products, and processing systems / H.H. Aumann in IEEE Transactions on geoscience and remote sensing, vol 41 n° 2 (February 2003)PermalinkFeature selection of in situ subtropical hyperspectral data using principal components analysis / F.Y. Ma in Geocarto international, vol 17 n° 4 (December 2002 - February 2003)Permalinkvol 57 n° 3 - December 2002 - January 2003 - Image stereoscopy and hyperspectral imaging (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / A.K. SkimodePermalinkA model-based mixture-supervised classification approach in hyperspectral data analysis / M.M. Dundar in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)PermalinkRadiative transfer codes applied to hyperspectral data for the retrieval of surface reflectance / K. Staenz in ISPRS Journal of photogrammetry and remote sensing, vol 57 n° 3 (December 2002 - January 2003)PermalinkA robust classification procedure based on mixture classifiers and nonparametric weighted feature extraction / B.C. Kuo in IEEE Transactions on geoscience and remote sensing, vol 40 n° 11 (November 2002)PermalinkHyperspectral edge filtering for measuring homogeneity of surface cover types / Wim H. Bakker in ISPRS Journal of photogrammetry and remote sensing, vol 56 n° 4 (July - August 2002)PermalinkAnomaly detection and classification for hyperspectral imagery / C.I. Chang in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)Permalink