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Evaluating airborne hyperspectral imagery for rangeland assessment in south Texas / James H. Everitt in Geocarto international, vol 19 n° 3 (September - November 2004)
[article]
Titre : Evaluating airborne hyperspectral imagery for rangeland assessment in south Texas Type de document : Article/Communication Auteurs : James H. Everitt, Auteur ; C. Yang, Auteur ; M.R. Davis, Auteur Année de publication : 2004 Article en page(s) : pp 23 - 31 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande visible
[Termes IGN] composition colorée
[Termes IGN] ERDAS Imagine
[Termes IGN] flore locale
[Termes IGN] image hyperspectrale
[Termes IGN] occupation du sol
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] réflectance spectrale
[Termes IGN] Texas (Etats-Unis)Résumé : (Auteur) Airborne hyperspectral imagery was evaluated for differentiating among rangeland ecological variables on two range sites (tight sandy loam and shallow ridge) on south Texas rangelands. Field spectroradiometric reflectance measurements made on dominant vegetation (plant species and vegetation mixtures) and soil land-use types on the two sites identified six wavelengths [five visible and one near-infrared (NIR)] where significant spectral differences occurred among the parameters. The spectral bands that corresponded to these wavelengths were extracted from the 128-band hyperspectral images obtained of each site and used to develop false color composites that were subjected to computer classifications and accuracy assessments. The bands selected for the composites included the green (498.9 nm), yellow-green (549.7 nm), orange (629.6 nm), red (651.3 nm), dark red (680.4 nm), and NIR (825.5 tim). Accuracy assessments performed on the classification maps of four false color composites of the tight sandy loam site had overall accuracies ranging from 76% to 85%; the highest accuracy was obtained from the composite made up of the NIR, red, and yellow-green bands. Accuracy assessments performed on the classification maps of three composites of the shallow ridge site had overall accuracies ranging from 74% to 77%; the highest accuracy was acquired from a composite comprised of the NIR, orange, and yellow-green bands. Overall accuracies were considered good and indicate that several band combinations can be used successfully to differentiate among, rangeland parameters in southern Texas. Key Words: remote sensing, hyperspectral imagery, reflectance, false color composite imagery, accuracy assessment. Numéro de notice : A2004-478 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040408542314 Date de publication en ligne : 02/01/2008 En ligne : https://doi.org/10.1080/10106040408542314 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26996
in Geocarto international > vol 19 n° 3 (September - November 2004) . - pp 23 - 31[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-04031 RAB Revue Centre de documentation En réserve L003 Disponible Intérêt de la fusion d'images à haute résolution spatiale pour la classification de l'occupation du sol en milieu urbain / Yves Cornet in Revue internationale de géomatique, vol 14 n° 3 - 4 (septembre 2004 – février 2005)
[article]
Titre : Intérêt de la fusion d'images à haute résolution spatiale pour la classification de l'occupation du sol en milieu urbain Type de document : Article/Communication Auteurs : Yves Cornet, Auteur ; Marc Binard, Auteur ; Jean-Paul Donnay, Auteur Année de publication : 2004 Article en page(s) : pp 417 - 439 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] aménagement urbain
[Termes IGN] analyse coût-avantage
[Termes IGN] classification dirigée
[Termes IGN] fusion d'images
[Termes IGN] habitat urbain
[Termes IGN] image à très haute résolution
[Termes IGN] image Quickbird
[Termes IGN] image spectrale
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] pansharpening (fusion d'images)
[Termes IGN] restitution
[Termes IGN] texture d'imageRésumé : (Auteur) Lors de l'analyse préalable à une étude appliquée en urbanisme et aménagement du territoire exploitant l'imagerie satellitaire à haute résolution spatiale (HRS), l'utilisateur est confronté au choix du produit idéal par rapport à sa thématique de recherche. Le produit doit permettre un maximum d'exploitations possibles (interprétation visuelle - exploitations numériques), tout en restant d'un coût limité. Nous avons envisagé d'évaluer l'intérêt de l'imagerie Quickbird fusionnée (Pan-sharpened) par rapport au produit de base. Nous nous plaçons dans un contexte, d'exploitation qui exige un maximum d'informations texturales et spectrales (contexte urbain ou espaces végétaux et minéraux très hétérogènes, par exemple) et comparons les performances du produit Pan-sharpened aux produits de base non fusionnés et fusionnés, selon deux méthodes différentes lorsqu'ils sont soumis à une même procédure de classification d'image. Cette analyse montre que le produit Pan-sharpened est plus adapté à la restitution par classification des structures urbaines. Numéro de notice : A2004-590 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.3166/rig.14.417-439 En ligne : https://doi.org/10.3166/rig.14.417-439 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27106
in Revue internationale de géomatique > vol 14 n° 3 - 4 (septembre 2004 – février 2005) . - pp 417 - 439[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 047-04031 RAB Revue Centre de documentation En réserve L003 Disponible Use of hyperspectral derivative ratios in the red-edge region to identify plant stress responses to gas leaks / K.L. Smith in Remote sensing of environment, vol 92 n° 2 (15/08/2004)
[article]
Titre : Use of hyperspectral derivative ratios in the red-edge region to identify plant stress responses to gas leaks Type de document : Article/Communication Auteurs : K.L. Smith, Auteur ; M.D. Steven, Auteur ; J.J. Colls, Auteur Année de publication : 2004 Article en page(s) : pp 207 - 217 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande visible
[Termes IGN] blé (céréale)
[Termes IGN] canalisation
[Termes IGN] feuille (végétation)
[Termes IGN] gaz
[Termes IGN] herbe
[Termes IGN] image hyperspectrale
[Termes IGN] oxygène (O²)
[Termes IGN] pollution
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] réflectance végétale
[Termes IGN] végétationRésumé : (Auteur) Hyperspectral features in the red-edge region were tested as an index of plant stress responses to soil -oxygen depletion. The aim was to provide the basis for a warning system to identify natural gas leakage by the spectral responses of plants growing in the affected soil.
Elevated concentrations of natural gas in the soil atmosphere were used to deplete oxygen concentrations around the roots of grass, wheat (Hordeum vulgare cv Claire) and bean (Vicia faba cv Clipper) growing in a field facility. Visible symptoms due to the natural gas included reduced growth of the plants and chlorosis of the leaves.
Spectral responses included increased reflectance in the visible wavelengths and decreased reflectance in the near infra-red. Derivative analysis identified features within the red-edge at 720-730 and 702 nm. Ratios of the magnitude of the derivative at 725 to that at 702 nm were less in areas where gas was present. This ratio enabled identification of stress due to gas leakage up to 7 days before visible symptoms were observed and also at the edges of gassed plots where visible symptoms were not expressed. The technique was able to identify stress responses to long-term leaks in all the crops tested but to short-term leaks only in grass. This study therefore suggests that under appropriate conditions remote sensing could be used to detect pipeline gas leaks from decreases in the ratio of peaks within the red-edge.Numéro de notice : A2004-334 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.06.002 En ligne : https://doi.org/10.1016/j.rse.2004.06.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26861
in Remote sensing of environment > vol 92 n° 2 (15/08/2004) . - pp 207 - 217[article]Classification of hyperspectral remote sensing images with support vector machines / F. Melgani in IEEE Transactions on geoscience and remote sensing, vol 42 n° 8 (August 2004)
[article]
Titre : Classification of hyperspectral remote sensing images with support vector machines Type de document : Article/Communication Auteurs : F. Melgani, Auteur ; Lorenzo Bruzzone, Auteur Année de publication : 2004 Article en page(s) : pp 1778 - 1790 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] classification barycentrique
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectraleRésumé : (Auteur) This paper addresses the problem of the classification of hyperspectral remote sensing images by support vector machines (SVMs). First, we propose a theoretical discussion and experimental analysis aimed at understanding and assessing the potentialities of SVM classifiers in hyperdimensional feature spaces. Then, we assess the effectiveness of SVMs with respect to conventional feature-reduction-based approaches and their performances in hypersubspaces of various dimensionalities. To sustain such an analysis, the performances of SVMs are compared with those of two other nonparametric classifiers (i.e., radial basis function neural networks and the K-nearest neighbor classifier). Finally, we study the potentially critical issue of applying binary SVMs to multiclass problems in hyperspectral data. In particular, four different multiclass strategies are analyzed and compared: the one-against-all, the one-against-one, and two hierarchical tree-based strategies. Different performance indicators have been used to support our experimental studies in a detailed and accurate way, i.e., the classification accuracy, the computational time, the stability to parameter setting, and the complexity of the multiclass architecture. The results obtained on a real Airborne Visible/Infrared Imaging Spectroradiometer hyperspectral dataset allow to conclude that, whatever the multiclass strategy adopted, SVMs are a valid and effective alternative to conventional pattern recognition approaches (feature-reduction procedures combined with a classification method) for the classification of hyperspectral remote sensing data. Numéro de notice : A2004-389 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.831865 En ligne : https://doi.org/10.1109/TGRS.2004.831865 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26916
in IEEE Transactions on geoscience and remote sensing > vol 42 n° 8 (August 2004) . - pp 1778 - 1790[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-04081 RAB Revue Centre de documentation En réserve L003 Disponible Photogrammetric exploitation of Ikonos imagery for mapping applications / C. Vincent Tao in International Journal of Remote Sensing IJRS, vol 25 n° 14 (July 2004)
[article]
Titre : Photogrammetric exploitation of Ikonos imagery for mapping applications Type de document : Article/Communication Auteurs : C. Vincent Tao, Auteur ; Y. Hu, Auteur ; W. Jiang, Auteur Année de publication : 2004 Article en page(s) : pp 2833 - 2853 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] extraction automatique
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] orthorectification
[Termes IGN] reconstruction 3D
[Termes IGN] stéréoscopie
[Termes IGN] test de performanceRésumé : (Auteur) The launch of IKONOS by Space Imaging opens a new era of high resolution satellite imagery collection and mapping. The IKONOS satellite simultaneously acquires 1m panchromatic and 4m multi-spectral images in four bands that are suitable for high accuracy mapping applications. Space Imaging uses the rational function model (RFM), also known as rational polynomial camera model, instead of the physical IKONOS sensor model to communicate the imaging geometry. As revealed by recent studies from several researchers, the RFM retains the full capability of performing photogrammetric processing in absence of the physical sensor model. This paper presents some RFM-based processing methods and mapping applications developed for 3D feature extraction, orthorectification and RPC model refinement using IKONOS imagery. Comprehensive tests are performed to test the accuracy of 3D reconstruction and orthorectification and to validate the feasibility of the model refinement techniques. Numéro de notice : A2004-293 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001618392 En ligne : https://doi.org/10.1080/01431160310001618392 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26820
in International Journal of Remote Sensing IJRS > vol 25 n° 14 (July 2004) . - pp 2833 - 2853[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04121 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Integrating imaging spectroscopy (445-2543nm) and geographic information systems for post-disaster management: a case of hailstorm damage in Sydney / S. Bhaskaran in International Journal of Remote Sensing IJRS, vol 25 n° 13 (July 2004)PermalinkWavelet for urban spatial feature discrimination: comparisons with fractal, spatial autocorrelation, and spatial co-occurrence approaches / Nina S.N. Lam in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 7 (July 2004)PermalinkAutomatic change detection by evidential fusion of change indices / Sylvie Le Hégarat-Mascle in Remote sensing of environment, vol 91 n° 3 (30/06/2004)PermalinkExamining the effect of spatial resolution and texture window size on classification accuracy: an urban environment case / D. 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