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Spectral reflectance and emissivity features of broad leaf plants: prospects for remote sensing in the thermal infrared (8.0-14.0 um) / B. Ribeiro Da Luz in Remote sensing of environment, vol 109 n° 4 (30 August 2007)
[article]
Titre : Spectral reflectance and emissivity features of broad leaf plants: prospects for remote sensing in the thermal infrared (8.0-14.0 um) Type de document : Article/Communication Auteurs : B. Ribeiro Da Luz, Auteur ; J.K. Crowley, Auteur Année de publication : 2007 Article en page(s) : pp 393 - 405 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] emissivité
[Termes IGN] exitance spectrale
[Termes IGN] feuille (végétation)
[Termes IGN] identification automatique
[Termes IGN] image thermique
[Termes IGN] rapport signal sur bruit
[Termes IGN] rayonnement infrarouge thermique
[Termes IGN] réflectance spectrale
[Termes IGN] végétationRésumé : (Auteur) Field emissivity measurements were made of leaves collected from nine deciduous tree and agricultural plant species. The data show, for the first time, that it is possible to discriminate subtle spectral emissivity features of leaves from the natural background emission. Under conditions of controlled measurement geometry (leaves arranged to cover a flat surface), the field emissivity spectra agreed fairly well with emissivity values calculated from laboratory directional hemispherical reflectance measurements. Spectral features associated with a variety of leaf chemical constituents, including cellulose, cutin, xylan, silica, and oleanolic acid could be identified in the field emissivity data. Structural aspects of leaf surfaces also influenced spectral behavior, notably the abundance of trichomes, as well as wax thickness and texture. Field spectral measurements made at increasing distances from natural plant canopies showed progressive attenuation of the spectral emissivity features. This attenuation is ascribed to increased multiple scattering that superimposes an opposite-in-sign reflected component on the emittance, and to the increasing number of canopy voids within the instrument field of view. Errors associated with the removal of atmospheric features and with the non-isotropic thermal characteristics of canopies also contribute to the loss of spectral information at greater measurement distances. In contrast to visible and short-wave infrared data, thermal infrared spectra of broad leaf plants show considerable spectral diversity, suggesting that such data eventually could be utilized to map vegetation composition. However, remotely measuring the subtle emissivity features of leaves still presents major challenges. To be successful, sensors operating in the 8–14 um atmospheric window must have high signal-to-noise and a small enough instantaneous field of view to allow measurements of only a few leaf surfaces. Methods for atmospheric compensation, temperature–emissivity separation, and spectral feature analysis also will need to be refined to allow the recognition, and perhaps, exploitation of leaf thermal infrared spectral properties. Copyright Elsevier Numéro de notice : A2007-318 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.01.008 En ligne : https://doi.org/10.1016/j.rse.2007.01.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28681
in Remote sensing of environment > vol 109 n° 4 (30 August 2007) . - pp 393 - 405[article]Dual-frequency altimeter signal from Envisat on the Amery ice-shelf / Pascal Lacroix in Remote sensing of environment, vol 109 n° 3 (15 August 2007)
[article]
Titre : Dual-frequency altimeter signal from Envisat on the Amery ice-shelf Type de document : Article/Communication Auteurs : Pascal Lacroix, Auteur ; Benoit Legrésy, Auteur ; et al., Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 285 - 294 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal
[Termes IGN] altimétrie par radar
[Termes IGN] Antarctique
[Termes IGN] bande S
[Termes IGN] calotte glaciaire
[Termes IGN] crevasse
[Termes IGN] écho radar
[Termes IGN] épaisseur de la glace
[Termes IGN] image Envisat-AATSR
[Termes IGN] réflectance de surface
[Termes IGN] réflexion spéculaire
[Termes IGN] traitement du signal
[Termes IGN] variation saisonnièreRésumé : (Auteur) In Antarctica, radar altimeter measurements are sensitive to dielectric and penetration properties of the sensed medium (snow) such that the spacecraft's altitude can be biased. Since 2002, relatively low frequency radar measurements over the Amery Ice Shelf, east Antarctica, have been acquired using the Envisat dual frequency altimeter at S (3.2 GHz) and Ku (13.6 GHz) bands, which penetrate a few meters into the firn. The altimeter signal is however modified in summer by the presence of snowfilled crevasses. Indeed, the specularity of the snow surfaces in summer makes the altimetric signal sensitive mostly to nadir echoes, that increases the ratio between the crevasse signal and the surrounding ice-shelf signal at nadir. Crevasses are distinguished by differences in backscattering behavior compared with the surrounding ice-shelf signal. Crevasses are characterized by a strong backscatter coefficient at Ku band and anomalies in the S band altitude estimation. These two characteristics make snowfilled crevasses detectable by the dual frequency altimeter of Envisat. We first retrieve the geometric properties of the crevasses using a hyperbolic shape function, created by strong crevasse backscatter in the Ku waveform measurements. From this retrieved crevasse signal and further waveform analysis, we assess the properties of the snow surface and its sub-surface. The crevasse, due to its small size compared to the altimeter footprint, is found to be an excellent target to study snow properties of the ice-shelf. The anomalies in the S band altitude measurements over crevasses can then be explained by the presence of a double echo in the S band waveforms. This echo is attributed to a reflection at the base of the snowbridge, where we see evidence of sub-surface echos in the individual altimeter waveforms. Based on this observation, a methodology is developed to estimate the thickness of the snowbridge. We calculate the penetration depths in the summer snow surface of the Amery at Ku band, that is found to be around 6 m. Copyright Elsevier Numéro de notice : A2007-312 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.01. En ligne : https://doi.org/10.1016/j.rse.2007.01.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28675
in Remote sensing of environment > vol 109 n° 3 (15 August 2007) . - pp 285 - 294[article]A novel approach for disaster monitoring: fractal models and tools / G. Di Martino in IEEE Transactions on geoscience and remote sensing, vol 45 n° 6 Tome 1 (June 2007)
[article]
Titre : A novel approach for disaster monitoring: fractal models and tools Type de document : Article/Communication Auteurs : G. Di Martino, Auteur ; A. Iodice, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 1559 - 1570 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] détection de changement
[Termes IGN] écho radar
[Termes IGN] géométrie fractale
[Termes IGN] image radar moirée
[Termes IGN] inondation
[Termes IGN] interpolation
[Termes IGN] modèle géométrique
[Termes IGN] risque naturel
[Termes IGN] risque technologique
[Termes IGN] scène
[Termes IGN] surveillance hydrologiqueRésumé : (Auteur) In this paper, we present a complete framework to support the monitoring of natural and man-made disasters by means of synthetic aperture radar (SAR) images. The fractal geometry is the most appropriate mathematical instrument in describing the irregularity of a natural observed scene, by means of few effective and reliable parameters. Therefore, fractal concepts can be used to model and identify geometrical changes that occurred in areas hit by disasters. We present an overall framework employing fractal-based models, algorithms, and tools to support the identification of natural area changes due to natural or man-made disasters. Such a framework includes an algorithm used to extract fractal parameters from a 2-D signal, a fractal interpolation tool, and a SAR raw-signal simulator. The combined use of these tools provides an innovative instrument for disaster monitoring applications. In this paper, we implement the fractal framework to obtain a relation between the fractal parameters of a SAR image and those of the relative imaged area. In addition, a case study is discussed, showing the potentiality of our framework for flooding detection. Numéro de notice : A2007-362 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.887024 En ligne : https://doi.org/10.1109/TGRS.2006.887024 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28725
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 6 Tome 1 (June 2007) . - pp 1559 - 1570[article]A comparison study on fusion methods using evaluation indicators / V. Karanthanassi in International Journal of Remote Sensing IJRS, vol 28 n° 10 (May 2007)
[article]
Titre : A comparison study on fusion methods using evaluation indicators Type de document : Article/Communication Auteurs : V. Karanthanassi, Auteur ; P. Kolokousis, Auteur ; S. Ioannidou, Auteur Année de publication : 2007 Article en page(s) : pp 2309 - 2341 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] fusion d'images
[Termes IGN] indicateur
[Termes IGN] limite de résolution spectrale
[Termes IGN] rapport signal sur bruit
[Termes IGN] transformation intensité-teinte-saturationRésumé : (Auteur) Various fusion methods have been developed for improving data spatial resolution. The methods most encountered in the literature are the intensity-hue-saturation (IHS) transform, the Brovey transform, the principal components algorithm (PCA) fusion method, the Gram-Schmidt fusion method, the local mean matching method, the local mean and variance matching method, the least square fusion method, the discrete wavelet fusion method including Daubechies, Symlet, Coiflet, biorthogonal spline, reverse biorthogonal spline, and Meyer wavelets, the wavelet-PCA fusion method, and the crossbred IHS and wavelet fusion method. Using various evaluation indicators such as two-dimensional correlation, relative difference of means, relative variation, deviation index, entropy difference, peak signal-to-noise ratio index and universal image quality index, as well as photo-interpretation methods and techniques, results of the above fusion methods were compared and comments on the fusion methods and potential of evaluation indicators were made. Among data fusion methods and indicators the local mean and variance matching methods proved the most efficient and the peak signal-to-noise ratio indicator proved the most appropriate for the evaluation of data fusion results. Copyright Taylor & Francis Numéro de notice : A2007-292 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600606890 En ligne : https://doi.org/10.1080/01431160600606890 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28655
in International Journal of Remote Sensing IJRS > vol 28 n° 10 (May 2007) . - pp 2309 - 2341[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-07061 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Estimating atmospheric transmission and surface reflectance from a glint-contaminated spectral image / W. Philpot in IEEE Transactions on geoscience and remote sensing, vol 45 n° 2 (February 2007)
[article]
Titre : Estimating atmospheric transmission and surface reflectance from a glint-contaminated spectral image Type de document : Article/Communication Auteurs : W. Philpot, Auteur Année de publication : 2007 Article en page(s) : pp 448 - 457 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] exitance spectrale
[Termes IGN] image spectrale
[Termes IGN] modèle atmosphérique
[Termes IGN] pixel
[Termes IGN] rayonnement solaire
[Termes IGN] réflectance de surface
[Termes IGN] réfraction atmosphérique
[Termes IGN] scintillationRésumé : (Auteur) Sun glint obscures the radiance originating from within the water, but it also mirrors the solar radiance after transmission through the atmosphere. The difference between a glint-contaminated pixel and a nearby nonglint pixel from a spectral image prior to atmospheric correction yields a direct estimate of the spectral transmission of solar radiance which can then be used both to confirm atmospheric models and to retrieve an estimate of remote sensing reflectance. Copyright IEEE Numéro de notice : A2007-079 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.887161 En ligne : https://doi.org/10.1109/TGRS.2006.887161 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28444
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 2 (February 2007) . - pp 448 - 457[article]Réservation
Réserver ce documentExemplaires(2)
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