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Hyperspectral monitoring of physiological parameters of wheat during a vegetation period using AVIS data / N. Oppelt in International Journal of Remote Sensing IJRS, vol 25 n° 1 (January 2004)
[article]
Titre : Hyperspectral monitoring of physiological parameters of wheat during a vegetation period using AVIS data Type de document : Article/Communication Auteurs : N. Oppelt, Auteur ; W. Mauser, Auteur Année de publication : 2004 Article en page(s) : pp 145 - 159 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse de données
[Termes IGN] analyse diachronique
[Termes IGN] Bavière (Allemagne)
[Termes IGN] blé (céréale)
[Termes IGN] classificateur paramétrique
[Termes IGN] hétérogénéité sémantique
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] indice de végétation
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] réflectance végétale
[Termes IGN] saison
[Termes IGN] surveillance agricole
[Termes IGN] zone humideRésumé : (Auteur) Information on the quantity and spatial distribution of canopy physiological and biochemical components is of importance for the study of nutrient cycles, productivity, vegetation stress and, more recently, in driving ecosystem models. In this context, remote sensing can play a unique and essential role because of its ability to acquire synoptic information at different time and space scales. This paper presents parts of a two-year field and laboratory study with the new airborne hyperspectral sensor, the Airborne Visible near Infrared Imaging Spectrometer (AVIS), over a test site in the Bavarian Alpine foothills, Germany (48' 8'N, 11°17' E ). The 80-band AVIS was developed at the Department for Earth and Environmental Sciences of the LudwigMaximiliansUniversity Munich and records the 550-1000 mn spectral range. Using this system, 18 hyperspectral datasets were collected between April and September of 1999 and 2000. Weekly measurements of several plant parameters (height, biomass, leaf chlorophyll content, leaf nitrogen content) were carried out during these time periods on three (1999) and six (2000) fields of winter wheat, whereby two different cultivars were investigated in 2000. After system correction and calibration, the hyperspectral data were atmospherically corrected and calibrated to reflectance. The resulting spectra were analysed for their chemical compounds. The statistical analysis was carried out using the Chlorophyll Absorption Integral (CAI) in comparison to established indices: Optimized Soil-Adjusted Vegetation Index (OSAVI) and hyperspectral Normalized Difference Vegetation Index (hNDVI). Both the chlorophyll and nitrogen content of the leaves showed good correlations with CAI on a field mean basis. These results as well as two-dimensional information on these parameters are presented to provide information about the spatial heterogeneity within a field. Numéro de notice : A2004-036 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000115300 En ligne : https://doi.org/10.1080/0143116031000115300 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26564
in International Journal of Remote Sensing IJRS > vol 25 n° 1 (January 2004) . - pp 145 - 159[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04011 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Spectral characteristics and feature selection of hyperspectral remote sensing data / X. Jiang in International Journal of Remote Sensing IJRS, vol 25 n° 1 (January 2004)
[article]
Titre : Spectral characteristics and feature selection of hyperspectral remote sensing data Type de document : Article/Communication Auteurs : X. Jiang, Auteur ; L. Tanguy, Auteur Année de publication : 2004 Article en page(s) : pp 51 - 59 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification
[Termes IGN] image hyperspectrale
[Termes IGN] index spatial
[Termes IGN] Pékin (Chine)
[Termes IGN] signature spectrale
[Termes IGN] spectromètre imageurRésumé : (Auteur) Hyperspectral remote sensing data with bandwidth of nanometre (nm) level have tens or even several hundreds of channels and contain abundant spectral information. Different channels have their own properties and show the spectral characteristics of various objects in image. Rational feature selection from the varieties of channels is very important for effective analysis and information extraction of hyperspectral data. This paper, taking Shunyi region of Beijing as a study area, comprehensively analysed the spectral characteristics of hyperspectral data. On the basis of analysing the information quantity of bands, correlation between different bands, spectral absorption characteristics of objects and object separability in bands, a fundamental method of optimum band selection and feature extraction from hyperspectral remote sensing data was proposed. Numéro de notice : A2004-035 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000115292 En ligne : https://doi.org/10.1080/0143116031000115292 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26563
in International Journal of Remote Sensing IJRS > vol 25 n° 1 (January 2004) . - pp 51 - 59[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04011 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Automated subpixel photobathymetry and water quality mapping / R.L. Huguenin in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 1 (January 2004)
[article]
Titre : Automated subpixel photobathymetry and water quality mapping Type de document : Article/Communication Auteurs : R.L. Huguenin, Auteur ; M.H. Wang, Auteur ; R. Biehl, Auteur ; S. Stoodley, Auteur ; J.N. Rogers, Auteur Année de publication : 2004 Article en page(s) : pp 111 - 123 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bathymétrie
[Termes IGN] carbone
[Termes IGN] carte thématique
[Termes IGN] chlorophylle
[Termes IGN] classification
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] lac
[Termes IGN] Massachusetts (Etats-Unis)
[Termes IGN] pollution des eaux
[Termes IGN] précision infrapixellaire
[Termes IGN] profondeur
[Termes IGN] qualité des eaux
[Termes IGN] sédiment
[Termes IGN] turbidité océaniqueRésumé : (Auteur) New photobathymetry and water quality software is described here that utilizes subpixel analysis software (Subpixel Classifier) with an autonomous image calibration procedure and analytic retrieval algorithm to simultaneously retrieve and report bottom depth and the concentrations of suspended chlorophyll, suspended sediments, and colored dissolved organic carbon on a perpixel basis from four-band multispectral image data. From the derived composition, the QSC2 (Quantitative Shoreline Characterization, Version 2.0) software also computes and reports water column visibility parameters (vertical and horizontal subsurface sighting ranges and turbidity, each at four wavelength band passes, plus Secchi depth as a scalar) as well as depth and turbidity confidence. Qsc2 compensates for the effects of the atmosphere, sun and sky reflections from the water surface, subpixel contributions from exposed land, and variations in the bottom material properties. All information is derived automatically from the pixel data alone. The performance of the Qsc2 software was demonstrated using a four-band Ikonos image of Plymouth, Massachusetts. Accuracies of the image-derived compositions, water clarity, and depths were assessed using field and laboratory measurements for eight representative lakes in the scene. The means of the differences of the field-measured and image-derived suspended chlorophyll and colored dissolved organic carbon concentrations for the eight lakes were 1.82 ug/l and 4.34 mgC/1, respectively. The image-derived concentrations of suspended sediments were all below the threshold of detection for the field samples (5 mg/1), in agreement with the field data. The mean of the differences between field-measured and image-derived Secchi depths was 0.76 m. The mean depth difference was 0.57 m. Numéro de notice : A2004-005 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.1.111 En ligne : https://doi.org/10.14358/PERS.70.1.111 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26533
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 1 (January 2004) . - pp 111 - 123[article]Automatic building reconstruction from aerial images : a generic Bayesian Framework / Patrick Taillandier (2004)
Titre : Automatic building reconstruction from aerial images : a generic Bayesian Framework Type de document : Article/Communication Auteurs : Patrick Taillandier , Auteur ; Rachid Deriche, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2004 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 num. 35-B3 Conférence : ISPRS 2004, 20th international congress of photogrammetry and remote sensing, Geo-Imagery Bridging continents 12/07/2004 23/07/2004 Istanbul Turquie OA ISPRS Archives Importance : pp 343 - 348 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] classification bayesienne
[Termes IGN] contrainte géométrique
[Termes IGN] image multi sources
[Termes IGN] primitive
[Termes IGN] programmation par contraintes
[Termes IGN] reconstruction 3DIndex. décimale : 33.30 Photogrammétrie numérique Résumé : (Auteur) A novel System for automatic building reconstruction from multiple aerial images is presented. Compared to previous works, this approach uses a very generic modeling of buildings as polyhedral shapes with no overhang, in which external knowledge is introduced through constraints on primitives. Using planes as base primitives, the algorithm builds up an arrangement of planes from which a 3D graph of facets is deduced. In a so-called "compatibility graph" where the nodes are the initial facets of the 3D graph and edges between two nodes state that both facets belong to at least one common hypothesis of building, it is shown that maximal cliques supply all the hypotheses of buildings that can be deduced from the arrangement of planes. Among these hypotheses the choice is done through a bayesian formulation that balance data adequacy and caricature needs. Results are provided on real images and show the validity of the approach that remains very generic on the contrary to model-based methods while bringing extemal architectural information through geometric constraints, which generally lacks in data-driven algorithms. Numéro de notice : 15189 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication DOI : sans En ligne : https://www.isprs.org/proceedings/XXXV/congress/comm3/papers/292.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64394 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 15189-01 33.30 Tiré à part Centre de documentation Photogrammétrie - Lasergrammétrie Disponible Bayesian-based subpixel brightness temperature estimation from multichannel infrared GOES radiometer data / S. Cain in IEEE Transactions on geoscience and remote sensing, vol 42 n° 1 (January 2004)
[article]
Titre : Bayesian-based subpixel brightness temperature estimation from multichannel infrared GOES radiometer data Type de document : Article/Communication Auteurs : S. Cain, Auteur Année de publication : 2004 Article en page(s) : pp 188 - 201 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification bayesienne
[Termes IGN] cohérence des données
[Termes IGN] image GOES
[Termes IGN] image multibande
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image optique
[Termes IGN] luminance lumineuse
[Termes IGN] précision infrapixellaire
[Termes IGN] rayonnement infrarouge
[Termes IGN] température de luminanceRésumé : (Auteur) In this paper, a new image reconstruction scheme is devised for estimating a high-resolution temperature map of the top of the earth's atmosphere using the Geostationary Operational Environmental Satellite (GOES) imager infrared channels 4 and 5. By simultaneously interpolating the image while estimating temperature, the proposed algorithm achieves a more accurate estimate of the subpixel temperatures than could be obtained by performing these operations independently of one another. The proposed algorithm differs from other Bayesian-based image interpolation schemes in that it estimates brightness temperature as opposed to image intensity and incorporates a detailed optical model of the GOES multichannel imaging system. In order to test the effectiveness of the proposed technique, high-resolution estimates of cloudtop temperatures using GOES channels 4 and 5 are compared to temperature estimates obtained from the Advanced Very High Resolution Radiometer (AVHRR). This test is achieved by examining sets of infrared data taken simultaneously by the GOES and AVHRR systems over the same geographic area. The AVHRR system collects longwave infrared data with a spatial resolution of 1km, which is higher than the 4km spatial resolution the GOES system achieves. In some cases, the estimated temperature differences between these systems are as high as 11.5 K. It is shown in this paper that the proposed algorithm improves the consistency between the cloudtop temperatures estimated with the GOES and AVHRR systems by allowing the GOES system to achieve substantially higher spatial resolution. Numéro de notice : A2004-044 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.815397 En ligne : https://ieeexplore.ieee.org/document/1262596 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26572
in IEEE Transactions on geoscience and remote sensing > vol 42 n° 1 (January 2004) . - pp 188 - 201[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-04011 RAB Revue Centre de documentation En réserve L003 Disponible Caractérisation morphométrique du relief / Benoit Poupeau (2004)PermalinkCaractérisation par télédétection des paysages favorables aux culicoides vecteurs de la fièvre catarrhale ovine dans le bassin méditerranéen / H. Guis (2004)PermalinkCartographie des rizières d'une zone des hautes terres centrales de Madagascar pour la détermination des zones à risque du paludisme / F. Thomas (2004)PermalinkContribution à la reconstruction du bâti en milieu urbain, à l'aide d'images aériennes stéréoscopiques à grande échelle : étude d'une approche structurelle / Franck Taillandier (2004)PermalinkA cost-effective semisupervised classifier approach with kernels / M. Murat Dundar in IEEE Transactions on geoscience and remote sensing, vol 42 n° 1 (January 2004)PermalinkDéveloppement d'une aide de mise en forme cartographique pour images satellites dans le cadre du projet METIS Forêts / A. Caen (2004)PermalinkExploitation d'une image très haute résolution pour la cartographie des plantations et de la végétation naturelle dans la région de Marrakech / Y. Gauthier (2004)PermalinkImage Analysis and Recognition, International Conference, ICIAR 2004, Porto, Portugal, September-October 2004, Part 1. Proceedings / Aurélio Campilho (2004)PermalinkImage numérique couleur, de l'acquisition au traitement / Alain Trémeau (2004)PermalinkInventaire et suivi des zones humides par télédétection / L. Puente (2004)Permalink