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A wavelet spectral analysis technique for automatic detection of geomagnetic sudden commencements / E. Ghamry in IEEE Transactions on geoscience and remote sensing, vol 50 n° 11 Tome 1 (November 2012)
[article]
Titre : A wavelet spectral analysis technique for automatic detection of geomagnetic sudden commencements Type de document : Article/Communication Auteurs : E. Ghamry, Auteur ; A. Hafez, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 4503 - 4512 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géophysique interne
[Termes IGN] analyse spectrale
[Termes IGN] détection automatique
[Termes IGN] tempête magnétique
[Termes IGN] transformation en ondelettesRésumé : (Auteur) Maximal overlap discrete wavelet transform is used to perform spectral analysis of geomagnetic storm sudden commencements (SCs) (SSCs). This spectral analysis guided us in the development of an automatic SSC detection algorithm. The SC can be an indicator of the onset of a geomagnetic storm; in this case, it is called an SSC. The geomagnetic records used in this study were 3-s resolution data collected from the Circum-Pan Pacific Magnetometer Network. Using such high-resolution data enabled us to achieve a small detection error and short processing time. In addition to these technical merits, we introduce a new algorithm that automatically detects, for the first time, the SC from high-resolution data (sampled at the rate of 1 sample/3 s), unlike previous studies that focused on determining the SSC times automatically using 1-min data. Ninety-three geomagnetic storms were considered for testing the proposed algorithm; it was found that the average and maximum standard deviation of the errors in the detection times determined by the algorithm were 7 and 18 samples, respectively, of the corresponding manually determined arrival times. Numéro de notice : A2012-589 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2192279 Date de publication en ligne : 08/05/2012 En ligne : https://doi.org/110.1109/TGRS.2012.2192279 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32035
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 11 Tome 1 (November 2012) . - pp 4503 - 4512[article]Detecting depolarized targets using a new geometrical perturbation filter / Armando Marino in IEEE Transactions on geoscience and remote sensing, vol 50 n° 10 Tome 1 (October 2012)
[article]
Titre : Detecting depolarized targets using a new geometrical perturbation filter Type de document : Article/Communication Auteurs : Armando Marino, Auteur ; S. Cloude, Auteur ; I. Woodhouse, Auteur Année de publication : 2012 Article en page(s) : pp 3787 - 3799 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande L
[Termes IGN] détection de cible
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image TerraSAR-X
[Termes IGN] polarimétrie radar
[Termes IGN] polarisationRésumé : (Auteur) Target detectors using polarimetry are often focused on single targets, since these can be characterized in a simpler and deterministic way. The algorithm proposed in this paper is aimed at the more difficult problem of partial-target detection (i.e., targets with arbitrary degree of polarization). The authors have already proposed a single-target detector employing filters based on a geometrical perturbation. In order to enhance the algorithm to the detection of partial targets, a new vector formalism is introduced. The latter is similar to the one exploited for single targets but suitable for complete characterization of partial targets. A new feature vector is generated starting from the covariance matrix and exploited for the perturbation method. Validation against L-band fully polarimetric airborne E-SAR and ALOS PALSAR data and X-band dual-polarimetric TerraSAR-X data is provided with significant agreement with the expected results. Additionally, a comparison with the supervised Wishart classifier is presented revealing improvements. Numéro de notice : A2012-525 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2185703 Date de publication en ligne : 07/03/2012 En ligne : https://doi.org/10.1109/TGRS.2012.2185703 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31971
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 10 Tome 1 (October 2012) . - pp 3787 - 3799[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2012101A RAB Revue Centre de documentation En réserve L003 Disponible Dimensionality reduction of hyperspectral data using spectral fractal feature / K. Mukherjee in Geocarto international, vol 27 n° 6 (October 2012)
[article]
Titre : Dimensionality reduction of hyperspectral data using spectral fractal feature Type de document : Article/Communication Auteurs : K. Mukherjee, Auteur ; J. Ghosh, Auteur ; R. Mittal, Auteur Année de publication : 2012 Article en page(s) : pp 515 - 531 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] courbe
[Termes IGN] dimension fractale
[Termes IGN] image hyperspectrale
[Termes IGN] réduction
[Termes IGN] réponse spectraleRésumé : (Auteur) A new approach for dimensionality reduction of hyperspectral data has been proposed in this article. The method is based on extraction of fractal-based features from the hyperspectral data. The features have been generated using spectral fractal dimension of the spectral response curves (SRCs) after smoothing, interpolating and segmenting the curves. The new features so generated have then been used to classify hyperspectral data. Comparing the post classification accuracies with some other conventional dimensionality reduction methods, it has been found that the proposed method, with less computational complexity than the conventional methods, is able to provide classification accuracy statistically equivalent to those from conventional methods. Numéro de notice : A2012-512 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.642411 Date de publication en ligne : 11/01/2012 En ligne : https://doi.org/10.1080/10106049.2011.642411 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31958
in Geocarto international > vol 27 n° 6 (October 2012) . - pp 515 - 531[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2012061 RAB Revue Centre de documentation En réserve L003 Disponible A new 3-D solar radiation model for 3-D city models / Jaroslav Hofierka in Transactions in GIS, vol 16 n° 5 (October 2012)
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Titre : A new 3-D solar radiation model for 3-D city models Type de document : Article/Communication Auteurs : Jaroslav Hofierka, Auteur ; M. Zlocha, Auteur Année de publication : 2012 Article en page(s) : pp 681 - 690 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] arc
[Termes IGN] ensoleillement
[Termes IGN] GRASS
[Termes IGN] milieu urbain
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] modèle de transfert radiatif
[Termes IGN] ombre
[Termes IGN] rayonnement solaire
[Termes IGN] voxelRésumé : (Auteur) Estimates of solar radiation distribution in urban areas are often limited by the complexity of urban environments. These limitations arise from spatial structures such as buildings and trees that affect spatial and temporal distributions of solar fluxes over urban surfaces. The traditional solar radiation models implemented in GIS can address this problem only partially. They can be adequately used only for 2-D surfaces such as terrain and rooftops. However, vertical surfaces, such as facades, require a 3-D approach. This study presents a new 3-D solar radiation model for urban areas represented by 3-D city models. The v.sun module implemented in GRASS GIS is based on the existing solar radiation methodology used in the topographic r.sun model with a new capability to process 3-D vector data representing complex urban environments. The calculation procedure is based on the combined vector-voxel approach segmenting the 3-D vector objects to smaller polygon elements according to a voxel data structure of the volume region. The shadowing effects of surrounding objects are considered using a unique shadowing algorithm. The proposed model has been applied to the sample urban area with results showing strong spatial and temporal variations of solar radiation flows over complex urban surfaces. Numéro de notice : A2012-518 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01337.x Date de publication en ligne : 22/08/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01337.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31964
in Transactions in GIS > vol 16 n° 5 (October 2012) . - pp 681 - 690[article]Quantifying deforestation in the Brazilian Amazon using advanced land observing satellite phased array L-band synthetic aperture radar (ALOS PALSAR) and shuttle imaging radar (SIR)-C data / M. Rahman in Geocarto international, vol 27 n° 6 (October 2012)
[article]
Titre : Quantifying deforestation in the Brazilian Amazon using advanced land observing satellite phased array L-band synthetic aperture radar (ALOS PALSAR) and shuttle imaging radar (SIR)-C data Type de document : Article/Communication Auteurs : M. Rahman, Auteur ; J. Tetuko Sri Sumantyo, Auteur Année de publication : 2012 Article en page(s) : pp 463 - 478 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Amazonie
[Termes IGN] bande L
[Termes IGN] Brésil
[Termes IGN] carte de la végétation
[Termes IGN] couvert forestier
[Termes IGN] déboisement
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image radar
[Termes IGN] image radar moirée
[Termes IGN] image SIR-C
[Termes IGN] matrice
[Termes IGN] zone intertropicaleRésumé : (Auteur) The study examined the capability of dual-polarization SAR data for forest cover mapping and change assessment in the Brazilian Amazon Forest regions. Shuttle Imaging Radar (SIR)-C and Advanced Land Observing Satellite Phased Array L-band Synthetic Aperture Radar (ALOS PALSAR) data were analysed to map and quantify deforestation. The images were classified using hybrid classifier, where each land cover was grouped in various spectral sub-classes interpreted on the imagery and later merged together to generate the desired land cover classes. The classification accuracy for forest was reasonably high (>90%). The technique applied in this study can be extended for operational mapping and monitoring of deforestation in the tropics, particularly for those regions which are often covered by cloud. Numéro de notice : A2012-509 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.638987 Date de publication en ligne : 13/01/2012 En ligne : https://doi.org/10.1080/10106049.2011.638987 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31955
in Geocarto international > vol 27 n° 6 (October 2012) . - pp 463 - 478[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2012061 RAB Revue Centre de documentation En réserve L003 Disponible RCS of complex targets : original representation validated by measurements-application to ISAR imagery / Y. Bennani in IEEE Transactions on geoscience and remote sensing, vol 50 n° 10 Tome 1 (October 2012)PermalinkUsing thermal remote sensing in environmental studies / M. Kubiak in Transactions in GIS, vol 16 n° 5 (October 2012)PermalinkNear real-time estimation of water vapour in the troposphere using ground GNSS and the meteorological data / Jaroslaw Bosy in Annales Geophysicae, vol 30 n° 9 (September 2012)PermalinkRetrieval of phase history parameters from distributed scatterers in urban areas using very high resolution SAR data / Y. Wang in ISPRS Journal of photogrammetry and remote sensing, vol 73 (September 2012)PermalinkTopographic corrections of satellite data for regional monitoring / S. Goslee in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 9 (September 2012)PermalinkA variational gradient-based fusion method for visible and SWIR imagery / H. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 9 (September 2012)PermalinkVisualisation 3D de terrain texturé : préservation au niveau du pixel des qualités géométriques et colorimétriques, une méthode temps réel, innovante et simple / T.V. Lê in Revue internationale de géomatique, vol 22 n° 3 (septembre - novembre 2012)PermalinkEvaluating classification techniques for mapping vertical geology using field-based hyperspectral sensors / R.J. Murphy in IEEE Transactions on geoscience and remote sensing, vol 50 n° 8 (August 2012)PermalinkHyperspectral band clustering and band selection for urban land cover classification / H. Su in Geocarto international, vol 27 n° 5 (August 2012)PermalinkMultidirectional visibility index for analytical shading enhancement / T. Podobnikar in Cartographic journal (the), vol 49 n° 3 (August 2012)Permalink