Descripteur
Termes IGN > sciences naturelles > physique > optique > optique physique > radiométrie > rayonnement électromagnétique > spectre électromagnétique > bande spectrale
bande spectraleSynonyme(s)canal spectral |
Documents disponibles dans cette catégorie (448)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Feature 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)
[article]
Titre : Feature selection of in situ subtropical hyperspectral data using principal components analysis Type de document : Article/Communication Auteurs : F.Y. Ma, Auteur ; W.L. Siu, Auteur Année de publication : 2002 Article en page(s) : pp 25 - 32 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse en composantes principales
[Termes IGN] bande infrarouge
[Termes IGN] capteur multibande
[Termes IGN] données de terrain
[Termes IGN] environnement
[Termes IGN] espèce végétale
[Termes IGN] forêt tropicale
[Termes IGN] identification automatique
[Termes IGN] image hyperspectrale
[Termes IGN] luminance lumineuse
[Termes IGN] surveillance écologiqueRésumé : (Auteur) The availability of hyperspectral data is going to provide new insights for environmental studies. In this study, hyperspectral data were collected for 10 land cover types with in situ measurement and leaves of 25 subtropical tree species in laboratory measurement within the 400 900 rim spectral regions in 689 bands. These bands were subsequently filtered to 138 bands for data analysis. Principal components analysis was applied to explore the inherent data dimensions. It was found that unlike most broadband sensors from which only two dimensions, brightness and greenness, could be extracted, hyperspectral data provided additional dimensions particularly along the red edge that could help identify different land covers as well as tree species. The results of tree identification using principal components analysis were comparable to those using the raw spectral bands. Hyperspectral data analysis should be a valuable tool for environmental monitoring in the tropical and subtropical environment where a large variety of flora and habitats is found. Numéro de notice : A2003-048 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040208542251 En ligne : https://doi.org/10.1080/10106040208542251 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22345
in Geocarto international > vol 17 n° 4 (December 2002 - February 2003) . - pp 25 - 32[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-02041 RAB Revue Centre de documentation En réserve L003 Disponible Incidence angle dependence of the statistical properties of C-band HH-polarization backscattering signatures of the Baltic sea ice / Marko P. Mäkynen in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)
[article]
Titre : Incidence angle dependence of the statistical properties of C-band HH-polarization backscattering signatures of the Baltic sea ice Type de document : Article/Communication Auteurs : Marko P. Mäkynen, Auteur ; A.T. Manninen, Auteur ; M.H. Simila, Auteur ; J.A. Karvonen, Auteur ; M.T. Hallikainen, Auteur Année de publication : 2002 Article en page(s) : pp 2593 - 2605 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] angle d'incidence
[Termes IGN] Baltique, mer
[Termes IGN] bande C
[Termes IGN] diffusomètre
[Termes IGN] glace
[Termes IGN] modèle de diffusion du rayonnement
[Termes IGN] modèle linéaire
[Termes IGN] polarimétrie radar
[Termes IGN] radar à antenne synthétiqueRésumé : (Auteur) Incidence angle dependence of three statistical parameters the mean of the backscattering coefficient (°) standard deviation, and autocorrelation coefficient of texture (T and T) of the C band horizontal-horizontal (HH) polarization backscattering signatures of the Baltic Sea ice are investigated using RADARSAT ScanSAR Narrow images and helicopterborne Helsinki University of Technology Scatterometer (HUTSCAT) data. The analysis of the large amount of data shows that the relationship between the mean ° in decibel scale and the incidence angle in the range from 19° to 46° is usually well described by a linear model. In general, the RADARSAT and HUTSCAT results agree with each other, and they are also supported by theoretical backscattering model calculations; the more deformed the ice, the smaller the slope between ° and the incidence angle, and the higher the moisture content of snow or ice, the larger the slope. The derived ° incidence angle dependencies can be used to roughly compensate the ° incidence angle variation in the SAR images to help their visual and automated classification. The variability of T and T with the increasing incidence angle is insignificant compared to the variability within each ice type. Their average changes with the incidence angle are so small that, in practice, their trends do not need to be compensated. The results of this study can be utilized when developing classification algorithms for the RADARSAT ScanSAR and ENVISAT HH-polarization Wide Swath images of the Baltic Sea ice. Numéro de notice : A2002-349 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.806991 En ligne : https://doi.org/10.1109/TGRS.2002.806991 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22260
in IEEE Transactions on geoscience and remote sensing > vol 40 n° 12 (December 2002) . - pp 2593 - 2605[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-02121 RAB Revue Centre de documentation En réserve L003 Disponible Simulating L-band emission of forests in view of future satellite applications / P. Ferrazzoli in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)
[article]
Titre : Simulating L-band emission of forests in view of future satellite applications Type de document : Article/Communication Auteurs : P. Ferrazzoli, Auteur ; Leila Guerriero, Auteur ; Jean-Pierre Wigneron, Auteur Année de publication : 2002 Article en page(s) : pp 2700 - 2708 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande L
[Termes IGN] emissivité
[Termes IGN] forêt
[Termes IGN] humidité du sol
[Termes IGN] hyperfréquence
[Termes IGN] modèle de transfert radiatif
[Termes IGN] simulation d'image
[Termes IGN] Soil Moisture and Ocean Salinity MissionRésumé : (Auteur) The microwave model developed at the Tor Vergata University is used to simulate the emissivity of forests, in order to study the performance of an L-band spaceborne radiometer, similar to that carried by the Soil Moisture Ocean Salinity mission. The model is first validated, and the importance of a correct vegetation growth parametrization in the modeling procedure is pointed out. This model is also used to calibrate a simple zeroorder radiative transfer model, since simple models have been recognized to be useful in retrieval applications at a global scale. In this paper, we show that although a zeroorder approximation cannot be directly used for forests, a simple formulation may be applied, provided the albedo and the optical depth are defined as equivalent parameters. Numéro de notice : A2002-352 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.807577 En ligne : https://doi.org/10.1109/TGRS.2002.807577 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22263
in IEEE Transactions on geoscience and remote sensing > vol 40 n° 12 (December 2002) . - pp 2700 - 2708[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-02121 RAB Revue Centre de documentation En réserve L003 Disponible A comparison of fuzzy vs. augmented-ISODATA classification algorithms for cloud-shadow discrimination from Landsat images / A.M. Melesse in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 9 (September 2002)
[article]
Titre : A comparison of fuzzy vs. augmented-ISODATA classification algorithms for cloud-shadow discrimination from Landsat images Type de document : Article/Communication Auteurs : A.M. Melesse, Auteur ; J.D. Jordan, Auteur Année de publication : 2002 Article en page(s) : pp 905 - 911 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] bande visible
[Termes IGN] classification dirigée
[Termes IGN] classification floue
[Termes IGN] classification ISODATA
[Termes IGN] image Landsat-TM
[Termes IGN] nuage
[Termes IGN] ombreRésumé : (Auteur) Satellite images are the most important source of landcover data over a large range of temporal and spatial scales. However, the complete realization of satellite imagery as a source of landcover information is limited by the presence of contaminants such as cloud and associated shadows in the image. These contaminants are not adequately handled with conventional image classification techniques such as the unsupervised maximumlikelihood technique. This study comprises a comparison of two classification algorithms, the fuzzy technique and an augmented form of the Iterative SelfOrganizing Data Analysis (ISODATA) technique, which were used to discriminate lowaltitude clouds and their shadows on a Landsat Thematic Mapper (TM) image of the Econlockhatchee River basin (Econ), in central Florida. Preliminary conventional unsupervised maxim umlikelihood classification of the image resulted in clouds being mixed with builtups and shadows being mixed with water bodies. Regions containing these two kinds of mixed categories were first masked, then fuzzy and augmented ISODATA classifications were performed on them. The ISODATA classification algorithm was run on the TM visible/shortwave bands and augmented with scatter diagrams of surface temperature versus several vegetation indices; the fuzzy algorithm was run on TM bands 1 through 5 and band 7. An accuracy assessment of the techniques was carried out using 40 randomly selected points within the image. Results of the classifications showed that both algorithms successfully discriminated clouds from other bright features, and shadows from other dark features, with an overall accuracy of greater than 80 percent. Numéro de notice : A2002-182 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/september/2002_sep_905 [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22097
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 9 (September 2002) . - pp 905 - 911[article]Bidirectional NDVI and atmospherically resistant BRDF inversion for vegetation canopy / F. Gao in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)
[article]
Titre : Bidirectional NDVI and atmospherically resistant BRDF inversion for vegetation canopy Type de document : Article/Communication Auteurs : F. Gao, Auteur ; Y.J. Xiaowen, Auteur ; C.B. Schaaf, Auteur ; A. Strahler, Auteur Année de publication : 2002 Article en page(s) : pp 1269 - 1278 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection
[Termes IGN] bande infrarouge
[Termes IGN] bande rouge
[Termes IGN] canopée
[Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes IGN] éclairement lumineux
[Termes IGN] image optique
[Termes IGN] image Terra-MODIS
[Termes IGN] inversion
[Termes IGN] modèle physique
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] spectroradiométrieRésumé : (Auteur) The normalized difference vegetation index (NDVI) has been widely applied in optical remote sensing. However, it has been demonstrated that NDVI is still partially affected by atmospheric path scattering and bidirectional (illumination and viewing geometry) effects. In this paper we present the benefit of using a bidirectional NDVI, and we discuss the problems in using the maximum NDVI composite method. Based on the assumption that a clear day has a larger NDVI value and a cloudy day has a smaller NDVI value (smaller reflectance in the nearinfrared band and larger reflectance in red band due to atmospheric path scattering), the ratio of squared observed NDVI values and calculated NDVI values is used as a weight in our inversion method. The calculated NDVI values are derived from previously inverted bidirectional reflectance distribution functions (BRDFs). The inversion process will loop until all weights converge. Our research on the early Terra/MODIS data using a semiempirical kerneldriven BRDF model (the RossThickLiTransit model) shows that this new method can improve inversion results whenever some cloudy pixels are not filtered out. As cloud detection and subpixel cloudiness are always a problem, this technique should still be very useful in improving the quality of BRDF inversion. Numéro de notice : A2002-187 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.800241 En ligne : https://ieeexplore.ieee.org/document/1020259 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22102
in IEEE Transactions on geoscience and remote sensing > vol 40 n° 6 (June 2002) . - pp 1269 - 1278[article]Réservation
Réserver ce documentExemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 065-02061 RAB Revue Centre de documentation En réserve L003 Disponible 065-02062 RAB Revue Centre de documentation En réserve L003 Disponible Comparative evaluation of Indian remote sensing multi-spectral sensors data for crop classification / R.P. Singh in Geocarto international, vol 17 n° 2 (June - August 2002)PermalinkEvaluation of narrowband and broadband vegetation indices for determining optimal hyperspectral wavebands for agricultural crop characterization / Prasad S. Thenkabail in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)PermalinkInundation discriminated using sun glint / V.C. Vanderbilt in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)PermalinkChange detection for thematic mapping by means of airborne multitemporal polarimetric SAR imagery / W. Dierking in IEEE Transactions on geoscience and remote sensing, vol 40 n° 3 (March 2002)PermalinkDetection of areas associated with flood and erosion caused by a heavy rainfall using multitemporal Landsat TM data / A.S. Dhakal in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 3 (March 2002)PermalinkEnvisat - Europe's newest scientific satellite / Gordon Petrie in Geoinformatics, vol 5 n° 2 (01/03/2002)PermalinkApplication de la télédétection radar à l'étude de la presqu'île et de la baie de Dakhla (géomorphologie, structure géologique et morpho-dynamique actuelle) / K. Selouane (2002)PermalinkOn the estimation of radar polarization orientation shifts induced by terrain slopes / Jong-Sen Lee in IEEE Transactions on geoscience and remote sensing, vol 40 n° 1 (January 2002)PermalinkUse of very high spatial resolution remotely sensed imagery for assessing land-cover changes in shrub habitat preserves of the southern California / P. Longmire in Geocarto international, vol 16 n° 4 (December 2001 - February 2002)PermalinkLe canal MIR de Spot4 / Guy Flament (2001)Permalink