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A wavelet-based algorithm to estimate ocean wave parameters from radar images / A. Niedermeier in IEEE Transactions on geoscience and remote sensing, vol 43 n° 2 (February 2005)
[article]
Titre : A wavelet-based algorithm to estimate ocean wave parameters from radar images Type de document : Article/Communication Auteurs : A. Niedermeier, Auteur ; J.C.N. Borge, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 327 - 336 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] image ERS-SAR
[Termes IGN] océan
[Termes IGN] ondelette
[Termes IGN] surface de la mer
[Termes IGN] système non linéaire
[Termes IGN] vagueRésumé : (Auteur) In recent years, new remote sensing techniques have been developed to measure two-dimensional (2-D) sea surface elevation fields. The availability of these data has led to the necessity to extend the classical analysis methods for one-dimensional (1-D) buoy time series to two dimensions. This paper is concerned with the derivation of group parameters from 2-D sea surface elevation fields using a wavelet-based technique. Wave grouping is known to be an important factor in ship and offshore safety, as it plays a role in dangerous resonance phenomenons and the generation of extreme waves. Synthetic aperture radar (SAR) data are used for the analysis. The wavelet technique is introduced using synthetic ocean surfaces and simulated SAR data. It is shown that the group structure of the ocean wave field can be recovered from the SAR image if the nonlinear imaging effects are moderate. The method is applied to a global dataset of European Remote Sensing satellite (ERS-2) wave mode data. Different group parameters including the area covered by the largest group and the number of groups in a given area are calculated for over 33 000 SAR images. Global maps of the parameters are presented. For comparison, classical 1D grouping parameters are calculated from colocated wave model data showing good overall agreement with the wavelet-derived parameters. ERS-2 image mode data are used to study wave fields in coastal areas. Waves approaching the island of Sylt in the North Sea are investigated, showing the potential of the wavelet technique to analyze the spatial wave dynamics associated with the bottom topography. Observations concerning changes of wavelength and group parameters are compared to linear wave theory. Numéro de notice : A2005-101 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.836873 En ligne : https://doi.org/10.1109/TGRS.2004.836873 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77433
in IEEE Transactions on geoscience and remote sensing > vol 43 n° 2 (February 2005) . - pp 327 - 336[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 065-05022 RAB Revue Centre de documentation En réserve L003 Disponible 065-05021 RAB Revue Centre de documentation En réserve L003 Disponible Performance of different spectral and textural photograph features in multi-source forest inventory / Sakari Tuominen in Remote sensing of environment, vol 94 n° 2 (30/01/2005)
[article]
Titre : Performance of different spectral and textural photograph features in multi-source forest inventory Type de document : Article/Communication Auteurs : Sakari Tuominen, Auteur ; A. Pekkarinen, Auteur Année de publication : 2005 Article en page(s) : pp 256 - 268 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification barycentrique
[Termes IGN] forêt
[Termes IGN] image à moyenne résolution
[Termes IGN] image Landsat-TM
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] photographie aérienne
[Termes IGN] photographie infrarouge
[Termes IGN] photographie numérique
[Termes IGN] signature spectrale
[Termes IGN] texture d'imageRésumé : (Auteur) Most multi-source forest inventory (MSFI) applications have thus far been based on the use of medium resolution satellite imagery, such as Landsat TM. The high plot and stand level estimation errors of these applications have, however, restricted their use in forest management planning. One reason suggested for the high estimation errors has been the coarse spatial resolution of the imagery employed. Therefore, very high spatial resolution (VHR) imagery sources provide interesting data for stand-level inventory applications. However, digital interpretation of VHR imagery, such as aerial photographs, is more complicated than the use of traditional satellite imagery. Pixel-by-pixel analysis is not applicable to VHR imagery because a single pixel is small in relation to the object of interest, i.e. a forest stand, and therefore it does not adequately represent the spectral properties of a stand. Additionally in aerial photographs, the spectral properties of the objects are dependent on their location in the image. Therefore, MSFI applications based on aerial imagery must employ features that are less sensitive to their location in the image and that have been derived using the spatial neighborhood of each pixel, e.g. a square-shaped window of pixels. In this experiment several spectral and textural features were extracted from color-infrared aerial photographs and employed in estimation of forest attributes. The features were extracted from original, normalized difference vegetation index and channel ratio images. The correlations between the extracted image features and forest attributes measured from sample plots were examined. Additionally, the spectral and textural features were used for estimating the forest attributes of sample plots, applying the k nearest neighbor estimation method. The results show that several spectral and textural image features that are moderately or well correlated with the forest attributes. Furthermore, the accuracy of forest attribute estimation can be significantly improved by a careful selection of image features. Numéro de notice : A2005-015 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE/MATHEMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.10.001 En ligne : https://doi.org/10.1016/j.rse.2004.10.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27154
in Remote sensing of environment > vol 94 n° 2 (30/01/2005) . - pp 256 - 268[article]Quality assessment and improvement of temporally composite products of remote sensed imagery by combination of Vegetation 1 and 2 images / Olivier Hagolle in Remote sensing of environment, vol 94 n° 2 (30/01/2005)
[article]
Titre : Quality assessment and improvement of temporally composite products of remote sensed imagery by combination of Vegetation 1 and 2 images Type de document : Article/Communication Auteurs : Olivier Hagolle, Auteur ; A. Lobo, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 172 - 186 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] bruit (théorie du signal)
[Termes IGN] erreur systématique
[Termes IGN] fusion d'images
[Termes IGN] image SPOT-Végétation
[Termes IGN] indicateur de qualité
[Termes IGN] qualité des données
[Termes IGN] réflectance de surface
[Termes IGN] variogrammeRésumé : (Auteur) Global temporal composites of surface reflectances are among the most commonly used products of wide field-of-view satellite-borne instruments such as the Advanced Very High Resolution Radiometer (AVHRR). the MODerate resolution Imaging Spectroradiometer (MODIS) and VEGETATION. The multi-temporal and spatial consistencies of these composites are key elements for their usefulness. In this paper, we use two different criteria to evaluate the quality of existing and new temporal composite products in SPOT-VEGETATION imagery. The first criterion based on variograms. analyses the spatial characteristics of composite images, and the second one evaluates the quality of the time series based on the analysis of simultaneous imagery from VEGETATION 1 and VEGETATION 2. Thanks to these criteria, we show that the standard deviation of the errors that affect the surface reflectances of current composite products can be reduced by a factor greater than 2 using improved algorithms detailed in this paper. Finally, we produce multi- instrument composites by integrating images from both VEGETATION instruments to further improve the composite products. Numéro de notice : A2005-014 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.09.008 En ligne : https://doi.org/10.1016/j.rse.2004.09.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27153
in Remote sensing of environment > vol 94 n° 2 (30/01/2005) . - pp 172 - 186[article]Using angular and spectral shape similarity constraints to improve MISR aerosol and surface retrievals over land / D. Diner in Remote sensing of environment, vol 94 n° 2 (30/01/2005)
[article]
Titre : Using angular and spectral shape similarity constraints to improve MISR aerosol and surface retrievals over land Type de document : Article/Communication Auteurs : D. Diner, Auteur ; J.V. Martonchik, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 155 - 171 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] aérosol
[Termes IGN] image Terra-MISR
[Termes IGN] photométrie
[Termes IGN] réflectance de surface
[Termes IGN] similitudeRésumé : (Auteur) The Multi-angle Imaging SpectroRadiometer (MISR) instrument on the Terra satellite has demonstrated the capability to retrieve aerosol optical depths, surface bidirectional reflectance factors, and hemispherical reflectances over a wide variety of land surface types. In particular, multiangular imaging design has enabled the application of algorithms that minimize sensitivity of the aerosol retrievals to the brightness of the underlying surface. The novel aerosol algorithm that was developed prior to launch has had notable quantitative success. Over certain types, however, the approach contained obvious spatial artifacts, so a postlaunch refinement to the algorithm was implemented. It constrains the retrieved aerosol models and optical depths such that the implied angular shape of the surface hemispherical-directional reflectance factor (HDRF) is similar among all of the MISR wavelengths. This upgrade has resulted in three tangible benefits: (1) the .occurrence of outliers has been dramatically reduced, (2) correlations with AERosol RObotic NETwork (AERONET) aerosol surnphotometer data are quantitatively improved, and (3) the quality of surface products is markedly enhanced. MISR Level 2 aerosol and surface products archived at the NASA Langley Atmospheric Sciences Data Center. Those having version numbers v0012 and higher incorporate this upgrade in the data processing software. Numéro de notice : A2005-013 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.09.009 En ligne : https://doi.org/10.1016/j.rse.2004.09.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27152
in Remote sensing of environment > vol 94 n° 2 (30/01/2005) . - pp 155 - 171[article]Application of wavelet analysis to the study of spatial pattern of morphological lineaments in digital terrain models: a case study / Gyozo Jordan in Remote sensing of environment, vol 94 n° 1 (15/01/2005)
[article]
Titre : Application of wavelet analysis to the study of spatial pattern of morphological lineaments in digital terrain models: a case study Type de document : Article/Communication Auteurs : Gyozo Jordan, Auteur ; Bertram Schott, Auteur Année de publication : 2005 Article en page(s) : pp 31 - 38 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse comparative
[Termes IGN] faille géologique
[Termes IGN] géomorphométrie
[Termes IGN] linéament
[Termes IGN] modèle numérique de terrain
[Termes IGN] ondelette
[Termes IGN] structure géologique
[Termes IGN] tectonique des plaquesRésumé : (Auteur) Tectonic faults are often associated with characteristic geomorphological features such as linear valleys, ridgelines and slope breaks that can be identified as lineaments in remotely sensed images or digital terrain models. Lineaments of tectonic origin are often characterised by periodicity and characteristic spatial pattern. Unlike traditional methods of autocorrelation, variogram, lineament density and Fourier analysis, wavelet analysis is capable of capturing and describing both periodicity and spatial pattern of lineaments. In this paper, a case study is shown for the application of wavelet analysis to morphotectonic lineament investigation. Results of wavelet analysis are compared to traditional methods. Although this study involves DEM-derived morphological lineaments, the presented wavelet analysis can be also used for lineaments derived from remotely sensed images. These results hold for this case study and provide a good assessment of the relative abilities of wavelet analysis, but it remains to be seen how effective it is for other data sources, areas and geological terrain. Numéro de notice : A2005-018 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.08.013 En ligne : https://doi.org/10.1016/j.rse.2004.08.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27157
in Remote sensing of environment > vol 94 n° 1 (15/01/2005) . - pp 31 - 38[article]Predicting riparian evapotranspiration from MODIS vegetation indices and meteorological data / P. Nagler in Remote sensing of environment, vol 94 n° 1 (15/01/2005)Permalink7e conférence francophone sur l'apprentissage automatique, CAp 2005, [Plate-forme AFIA], 30 mai - 3 juin 2005, Nice, France / François Denis (2005)Permalink7es Rencontres des Jeunes Chercheurs en Intelligence Artificielle [Plate-forme AFIA 2005] / Emmanuel Guéré (2005)PermalinkAgriculture classification using PolSAR data / H. Skriver (2005)PermalinkAlgèbre linéaire et géométrie / Luc Jolivet (2005)PermalinkAlternative representations of in-stream habitat: classification using remote sensing, hydraulic modelling, and fuzzy logic / C. 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