Descripteur
Termes IGN > mathématiques > transformation en ondelettes
transformation en ondelettesSynonyme(s)décomposition en ondelettesVoir aussi |
Documents disponibles dans cette catégorie (121)
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
Least-squares cross-wavelet analysis and its applications in geophysical time series / Ebrahim Ghaderpour in Journal of geodesy, vol 92 n° 10 (October 2018)
[article]
Titre : Least-squares cross-wavelet analysis and its applications in geophysical time series Type de document : Article/Communication Auteurs : Ebrahim Ghaderpour, Auteur ; Elmas Sinem Ince, Auteur ; Spiros D. Pagiatakis, Auteur Année de publication : 2018 Article en page(s) : pp 1223 - 1236 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique
[Termes IGN] champ de pesanteur terrestre
[Termes IGN] données GOCE
[Termes IGN] données ITGB
[Termes IGN] gradient de gravitation
[Termes IGN] matrice de covariance
[Termes IGN] méthode des moindres carrés
[Termes IGN] série temporelle
[Termes IGN] transformation en ondelettesRésumé : (Auteur) The least-squares wavelet analysis, an alternative to the classical wavelet analysis, was introduced in order to analyze unequally spaced and non-stationary time series exhibiting components with variable amplitude and frequency over time. There are a few methods such as cross-wavelet transform and wavelet coherence that can analyze two time series together. However, these methods cannot generally be used to analyze unequally spaced and non-stationary time series with associated covariance matrices that may have trends and/or datum shifts. A new method of analyzing two time series together, namely the least-squares cross-wavelet analysis, is developed and applied to study the disturbances in the gravitational gradients observed by GOCE satellite that arise from plasma flow in the ionosphere represented by Poynting flux. The proposed method also shows its outstanding performance on the Westford–Wettzell very long baseline interferometry baseline length and temperature series. Numéro de notice : A2018-462 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-018-1156-9 Date de publication en ligne : 26/05/2018 En ligne : https://doi.org/10.1007/s00190-018-1156-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91061
in Journal of geodesy > vol 92 n° 10 (October 2018) . - pp 1223 - 1236[article]Spectral-spatial classification of hyperspectral images using wavelet transform and hidden Markov random fields / Elham Kordi Ghasrodashti in Geocarto international, vol 33 n° 8 (August 2018)
[article]
Titre : Spectral-spatial classification of hyperspectral images using wavelet transform and hidden Markov random fields Type de document : Article/Communication Auteurs : Elham Kordi Ghasrodashti, Auteur ; Mohammad Sadegh Helfroush, Auteur ; Habibollah Danyali, Auteur Année de publication : 2018 Article en page(s) : pp 771 - 790 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] champ aléatoire de Markov
[Termes IGN] image hyperspectrale
[Termes IGN] régularisation
[Termes IGN] transformation en ondelettesRésumé : (Auteur) This paper proposes a spectral–spatial method for classification of hyperspectral images. The proposed method, called SSC, consists of two steps. In the first step, to overcome the computation complexity, a wavelet-based classifier is designed. In the second step, to enhance the classification accuracy, a novel hidden Markov random field called NHMRF technique in spatial domain is suggested. In NHMRF, we convert two-dimensional energies of traditional hidden Markov random field to three-dimensional energies and then we apply edge preserving regularization terms on each two-dimensional energy of this cube. The class label of each test pixel is fixed based on minimum three-dimensional energy achieved by edge preserving regularization terms. Experimental results show that the classification accuracy of the proposed approach based on three-dimensional energies and edge preserving regularization terms is effectively improved in comparison with the state-of-the-art methods. Numéro de notice : A2018-335 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE/MATHEMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2017.1303087 Date de publication en ligne : 27/03/2017 En ligne : https://doi.org/10.1080/10106049.2017.1303087 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90533
in Geocarto international > vol 33 n° 8 (August 2018) . - pp 771 - 790[article]Exploring image fusion of ALOS/PALSAR data and LANDSAT data to differentiate forest area / Saygin Abdikan in Geocarto international, vol 33 n° 1 (January 2018)
[article]
Titre : Exploring image fusion of ALOS/PALSAR data and LANDSAT data to differentiate forest area Type de document : Article/Communication Auteurs : Saygin Abdikan, Auteur Année de publication : 2018 Article en page(s) : pp 21 - 37 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] forêt
[Termes IGN] fusion d'images
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image Landsat-TM
[Termes IGN] image multibande
[Termes IGN] image radar moirée
[Termes IGN] qualité des données
[Termes IGN] transformation en ondelettesRésumé : (Auteur) Remote sensing data utilize valuable information via various satellite sensors that have different specifications. Image fusion allows the user to combine different spatial and spectral resolutions to improve the information for purposes such as forest monitoring and land cover mapping. In this study, I assessed the contribution of dual-polarized Advanced Land Observing Satellite/Phased Array type L-band Synthetic Aperture Radar data to multispectral Landsat imagery. The research investigated the separability of forested areas using different image fusion techniques. Quality analysis of the fused images was conducted using qualitative and quantitative analyses. I applied the support vector machine image classification method for land cover mapping. Among all methods examined, the à trous wavelet transform method best differentiated the forested area with an overall accuracy (OA) of 94.316%, while Landsat had an OA of 92.626%. The findings of this study indicated that optical-SAR-fused images improve land cover classification, which results in higher quality forest inventory data and mapping. Numéro de notice : A2018-030 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2016.1222635 En ligne : https://doi.org/10.1080/10106049.2016.1222635 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89199
in Geocarto international > vol 33 n° 1 (January 2018) . - pp 21 - 37[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2018011 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Gravity : Geoscience Applications, Industrial Technology and Quantum Aspect Type de document : Monographie Auteurs : Taher Zouaghi, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2018 Format : 19 x 27 cm ISBN/ISSN/EAN : 978-953-51-4059-7 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique
[Termes IGN] centre de gravité
[Termes IGN] champ de gravitation
[Termes IGN] champ de pesanteur terrestre
[Termes IGN] modèle de géopotentiel
[Termes IGN] modèle géologique
[Termes IGN] structure géologique
[Termes IGN] transformation en ondelettesRésumé : (éditeur) This book deals with different aspects of gravity that has proved its effectiveness throughout the world, hence their solicitation in recent years. Fundamental theories, applications, and tools have been presented, emphasizing the implementation of the gravity technique. Different research themes for diverse areas in the world are detailed here, highlighting new methods of studies that could be helpful for sophisticated and modern development over the next few years. Four main sections are presented: Gravity Interpretation Tools in Geoscience, Gravity in Geoscience Applications, Gravity in Industrial Technology, and Quantum Gravity. Theoretical and acquisition tools and adapted processing methods have been designed to take into account the initial data, and modeling results thus converge toward a better solution. This book, which makes a worthwhile contribution to the topic gravity, is specifically addressed to specialists, researchers, and industry professionals who shall find its content extremely useful for a better comprehension of the geological, spatial, and industrial aspects of gravity. Note de contenu : 1- Gravity data interpretation using different new algorithms: A comparative study
2- 3D modeling and inversion of gravity data in exploration scale
3- Microgravity and its applications in geosciences
4- Application of BEMD in extraction of regional and local gravity anomalies reflecting geological structures associated with mineral resources
5- Identification of gravity lineaments for water resources in the crystalline Massif of Hoggar (South of Algeria)
6- Gravity application for delineating subsurface structures at different localities in Egypt
7- Gravity in heat pipe technology
8- Analysis of the influence of fish behavior on the hydrodynamics of net cage
9- Beyond Einstein: A polynomial affine model of gravity
10- Gravity, curvature and energy: gravitational field intentionality to the cohesion and union of the universeNuméro de notice : 28508 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.68576 En ligne : https://doi.org/10.5772/intechopen.68576 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97043
Titre : Physics of oscillations and waves Type de document : Monographie Auteurs : Arnt Inge Vistnes, Auteur Editeur : Springer Nature Année de publication : 2018 Importance : 594 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-319-72314-3 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Physique
[Termes IGN] diffraction
[Termes IGN] interférence
[Termes IGN] longueur d'onde
[Termes IGN] onde
[Termes IGN] onde acoustique
[Termes IGN] onde électromagnétique
[Termes IGN] onde lumineuse
[Termes IGN] oscillation
[Termes IGN] phase
[Termes IGN] transformation de Fourier
[Termes IGN] transformation en ondelettesRésumé : (éditeur) In this textbook a combination of standard mathematics and modern numerical methods is used to describe a wide range of natural wave phenomena, such as sound, light and water waves, particularly in specific popular contexts, e.g. colors or the acoustics of musical instruments. It introduces the reader to the basic physical principles that allow the description of the oscillatory motion of matter and classical fields, as well as resulting concepts including interference, diffraction, and coherence. Numerical methods offer new scientific insights and make it possible to handle interesting cases that can’t readily be addressed using analytical mathematics; this holds true not only for problem solving but also for the description of phenomena. Essential physical parameters are brought more into focus, rather than concentrating on the details of which mathematical trick should be used to obtain a certain solution. Readers will learn how time-resolved frequency analysis offers a deeper understanding of the interplay between frequency and time, which is relevant to many phenomena involving oscillations and waves. Attention is also drawn to common misconceptions resulting from uncritical use of the Fourier transform. The book offers an ideal guide for upper-level undergraduate physics students and will also benefit physics instructors. Program codes in Matlab and Python, together with interesting files for use in the problems, are provided as free supplementary material. Note de contenu : 1- Introduction
2- Free and Damped Oscillations
3- Forced Oscillations and Resonance
4- Forced Oscillations and Resonance
5- Fourier Analysis
6- Waves
7- Sound
8- Dispersion and Waves on Water
9- Electromagnetic Waves
10- Reflection, Transmission and Polarization
11- Measurements of Light, Dispersion, Colours
12- Geometric Optics
13- Interference—Diffraction
14- Wavelet Transform
15- Coherence, Dipole Radiation and Laser
16- Skin Depth and WaveguidesNuméro de notice : 25817 Affiliation des auteurs : non IGN Nature : Monographie En ligne : https://doi.org/10.1007/978-3-319-72314-3 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95082 A wavelet decomposition and polynomial fitting-based method for the estimation of time-varying residual motion error in airborne interferometric SAR / Hai Qiang Fu in IEEE Transactions on geoscience and remote sensing, vol 56 n° 1 (January 2018)PermalinkWREP : A wavelet-based technique for extracting the red edge position from reflectance spectra for estimating leaf and canopy chlorophyll contents of cereal crops / Dong Li in ISPRS Journal of photogrammetry and remote sensing, vol 129 (July 2017)PermalinkPermalinkRegression wavelet analysis for lossless coding of remote-sensing data / Naoufal Amrani in IEEE Transactions on geoscience and remote sensing, vol 54 n° 9 (September 2016)PermalinkA new method for specular and diffuse pseudorange multipath error extraction using wavelet analysis / Giovanni Pugliano in GPS solutions, vol 20 n° 3 (July 2016)PermalinkCharacterization of ionospheric variability in TEC using EOF and wavelets over low-latitude GNSS stations / J.R.K. Kumar Dabbakuti in Advances in space research, vol 57 n° 12 (June 2016)PermalinkData fusion technique using wavelet transform and Taguchi methods for automatic landslide detection from airborne laser scanning data and QuickBird satellite imagery / Biswajeet Pradhan in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)PermalinkA robust digital watermarking algorithm for copyright protection of aerial photogrammetric images / Pai-Hui Hsu in Photogrammetric record, vol 31 n° 153 (March - May 2016)PermalinkMultifractal analysis for multivariate data with application to remote sensing / Sébastien Combrexelle (2016)PermalinkUnsupervised segmentation of high-resolution remote sensing images based on classical models of the visual receptive field / Miaozhong Xu in Geocarto international, vol 30 n° 9 - 10 (October - November 2015)Permalink