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Wavelet filter analysis of local atmospheric pressure effects on gravity variations / X.G. Hu in Journal of geodesy, vol 79 n° 8 (November 2005)
[article]
Titre : Wavelet filter analysis of local atmospheric pressure effects on gravity variations Type de document : Article/Communication Auteurs : X.G. Hu, Auteur ; L.T. Liu, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 447 - 459 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique
[Termes IGN] anomalie de pesanteur
[Termes IGN] champ de pesanteur local
[Termes IGN] Chine
[Termes IGN] filtrage du signal
[Termes IGN] fonction harmonique
[Termes IGN] gravimètre supraconducteur
[Termes IGN] image multibande
[Termes IGN] levé gravimétrique
[Termes IGN] ondelette
[Termes IGN] pression atmosphérique
[Termes IGN] saisonRésumé : (Auteur) An efficient method is proposed for the analysis of atmospheric pressure effects on gravity variations. It processes gravity variations and pressure signals using an orthogonal filter bank derived from high-degree Daubechies wavelets. The method introduces the atmospheric pressure admittance, which is both time- and frequency-dependent, and thus provides more information about when and how the frequency components in the pressure signal influence gravity variations. We demonstrate the efficiency of the wavelet method by applying it to observations from the Wuhan (China) superconducting gravimeter station. The analysis of gravity and pressure signals in 14 sub-bands with different bandwidths covering a frequency range from 0.176 to 720cpd (cycles per day) reveals that local atmospheric pressure fluctuations start to induce obvious effects on gravity variations in the seismic band 0.52-1.04 mHz (periods 16 to 32 min) and highly cor-relate with gravity variation in the long-period seismic mode band 0.26-0.52 mHz (periods 32-64 min). The harmonics of solar heating-induced atmospheric tides play a leading role in interfering with the variation of gravity residuals in the frequency band 0.704-11.25 cpd (periods 128 min to 1.42 day). Local atmospheric pressure effects on gravity variation are very strong in the frequency band 0.176-0.704cpd (periods 1.42-5.69 day). Accurately filtering quarter-diurnal tides into a narrow band further demonstrates the efficiency of the wavelet method. After removing secular gravity changes and long-period atmospheric pressure variations, we show that there are obvious variations of local pressure admittance on time scales of hours to days. We also reveal seasonal variability of pressure admittances in the band 0. 176-0.352 cpd (periods 2.84-5.69 day) after removing the effects of solar heating atmospheric tides. Numéro de notice : A2005-461 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-005-0486-6 En ligne : https://doi.org/10.1007/s00190-005-0486-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27597
in Journal of geodesy > vol 79 n° 8 (November 2005) . - pp 447 - 459[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 266-05081 RAB Revue Centre de documentation En réserve L003 Disponible Fusion of hyperspectral data using segmented PCT for color representation and classification / V. Tsagaris in IEEE Transactions on geoscience and remote sensing, vol 43 n° 10 (October 2005)
[article]
Titre : Fusion of hyperspectral data using segmented PCT for color representation and classification Type de document : Article/Communication Auteurs : V. Tsagaris, Auteur ; V. Anastassopoulos, Auteur ; G.A. Lampropoulos, Auteur Année de publication : 2005 Article en page(s) : pp 2365 - 2375 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse en composantes principales
[Termes IGN] classification dirigée
[Termes IGN] coefficient de corrélation
[Termes IGN] couleur à l'écran
[Termes IGN] entropie
[Termes IGN] fusion d'images
[Termes IGN] image hyperspectrale
[Termes IGN] image RVB
[Termes IGN] partitionnement
[Termes IGN] signature spectraleRésumé : (Auteur) Fusion of hyperspectral data is proposed by means of partitioning the hyperspectral bands into subgroups, prior to principal components transformation (PCT). The first principal component of each subgroup is employed for image visualization. The proposed approach is general, with the number of bands in each subgroup being application dependent. Nevertheless, the paper focuses on partitions with three subgroups suitable for RGB representation. One of them employs matched-filtering based on the spectral characteristics of various materials and is very promising for classification purposes. The information content of the hyperspectral bands as well as the quality of the obtained RGB images are quantitatively assessed using measures such as the correlation coefficient, the entropy, and the maximum energy-minimum correlation index. The classification performance of the proposed partitioning approaches is tested using the K-means algorithm. Numéro de notice : A2005-413 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.856104 En ligne : https://doi.org/10.1109/TGRS.2005.856104 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27549
in IEEE Transactions on geoscience and remote sensing > vol 43 n° 10 (October 2005) . - pp 2365 - 2375[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-05101 RAB Revue Centre de documentation En réserve L003 Disponible Quality criteria benchmark for hyperspectral imagery / E. Christophe in IEEE Transactions on geoscience and remote sensing, vol 43 n° 9 (September 2005)
[article]
Titre : Quality criteria benchmark for hyperspectral imagery Type de document : Article/Communication Auteurs : E. Christophe, Auteur ; D. Leger, Auteur ; Corinne Mailhes, Auteur Année de publication : 2005 Article en page(s) : pp 2103 - 2114 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] classification
[Termes IGN] compression de données
[Termes IGN] dégradation d'image
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] qualité des données
[Termes IGN] test de performanceRésumé : (Auteur) Hyperspectral data appear to be of a growing interest over the past few years. However, applications for hyperspectral data are still in their infancy as handling the significant size of the data presents a challenge for the user community. Efficient compression techniques are required, and lossy compression, specifically, will have a role to play, provided its impact on remote sensing applications remains insignificant. To assess the data quality, suitable distortion measures relevant to end-user applications are required. Quality criteria are also of a major interest for the conception and development of new sensors to define their requirements and specifications. This paper proposes a method to evaluate quality criteria in the context of hyperspectral images. The purpose is to provide quality criteria relevant to the impact of degradations on several classification applications. Different quality criteria are considered. Some are traditionnally used in image and video coding and are adapted here to hyperspectral images. Others are specific to hyperspectral data. We also propose the adaptation of two advanced criteria in the presence of different simulated degradations on AVIRIS hyperspectral images. Finally, live criteria are selected to give an accurate representation of the nature and the level of the degradation affecting hyperspectral data. Numéro de notice : A2005-388 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.853931 En ligne : https://doi.org/10.1109/TGRS.2005.853931 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27524
in IEEE Transactions on geoscience and remote sensing > vol 43 n° 9 (September 2005) . - pp 2103 - 2114[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-05091 RAB Revue Centre de documentation En réserve L003 Disponible Remote sensing of water quality for Burullus lake, Egypt / Kh. M. Dewidar in Geocarto international, vol 20 n° 3 (September - November 2005)
[article]
Titre : Remote sensing of water quality for Burullus lake, Egypt Type de document : Article/Communication Auteurs : Kh. M. Dewidar, Auteur ; A.A. Khedr, Auteur Année de publication : 2005 Article en page(s) : pp 43 - 49 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] appariement d'images
[Termes IGN] carte thématique
[Termes IGN] composition chimique
[Termes IGN] données de terrain
[Termes IGN] Egypte
[Termes IGN] image Landsat-TM
[Termes IGN] image multibande
[Termes IGN] lac
[Termes IGN] qualité des eaux
[Termes IGN] radiance
[Termes IGN] régression multipleRésumé : (Auteur) The objective of this study was to use Landsat Thematic Mapper TM data combined with surface measurements for mapping water quality parameters of Burullus Lake. Water samples were collected in the field at the same time of satellite image acquisition (April, 1997). TM bands 1, 2, 3, 4, 5, 7 and band ratios 1/4, 3/2, 2/1, 4/2, 4/3, 3/4, 7/5 and principal components of TM bands 1-4 (PC1 and PC2) were compared with in situ measurements and laboratory analysis of water samples. The water quality of interest included, Cl-, K+, Na+, soluble reactive phosphorus (SRP) dissolved inorganic nitrogen (DIN), dissolved oxygen (DO), pH, Salinity, Secchi disc and water depth. Also, the percentage of organic matter in bottom sediments and texture (sand, silt, clay) analyses are used in the evaluation processes. Correlation and regression models were developed between each of the water quality parameter measurements and the radiance of image data. Some water quality parameters were significantly correlated with TM radiance data. Subsequently, multiple linear regression models were used to prepare digital cartographic products depicting the water quality over the entire study area. Numéro de notice : A2005-446 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040508542354 Date de publication en ligne : 02/01/2008 En ligne : https://doi.org/10.1080/10106040508542354 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27582
in Geocarto international > vol 20 n° 3 (September - November 2005) . - pp 43 - 49[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-05031 RAB Revue Centre de documentation En réserve L003 Disponible Spectral filtering and classification of terrestrial laser scanner point clouds / Derek D. Lichti in Photogrammetric record, vol 20 n° 111 (September - November 2005)
[article]
Titre : Spectral filtering and classification of terrestrial laser scanner point clouds Type de document : Article/Communication Auteurs : Derek D. Lichti, Auteur Année de publication : 2005 Article en page(s) : pp 218 - 240 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] classificateur paramétrique
[Termes IGN] classification dirigée
[Termes IGN] coefficient de corrélation
[Termes IGN] correction radiométrique
[Termes IGN] filtrage numérique d'image
[Termes IGN] image multibande
[Termes IGN] précision de la classification
[Termes IGN] semis de points
[Termes IGN] télémétrie laser terrestreRésumé : (Auteur) A method is presented for filtering and classification of terrestrial laser scanner point clouds. The algorithm exploits the four-channel (blue, green, red and near infrared) multispectral imaging capability of some terrestrial scanners using supervised, parametric classification to assign thematic class labels to all scan cloud points. Its principal advantage is that it is a completely data-driven algorithm and is independent of spatial sampling resolution since the processing is performed in four-dimensional spectral feature space. Its application to two data-sets of different spatial extent and spatial and spectral complexity is reported, for which respective overall classification accuracies of 87.0% and 82.0% were achieved. Analysis of the input data with emphasis on the characteristics pertinent to the anticipated outcomes precedes detailed analysis of the classification results and error sources and their causes. Erroneously classified points are attributed to radiometric errors stemming from both detector hardware and physical effects. Numéro de notice : A2005-378 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2005.00321.x En ligne : https://doi.org/10.1111/j.1477-9730.2005.00321.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27514
in Photogrammetric record > vol 20 n° 111 (September - November 2005) . - pp 218 - 240[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-05031 RAB Revue Centre de documentation En réserve L003 Disponible Utilisation des images satellitaires Spot pour la cartographie des types de peuplements de la forêt de la Mamora (Maroc) / Abderrahman Aafi in Revue Française de Photogrammétrie et de Télédétection, n° 178 (Septembre 2005)PermalinkDe-shadowing of satellite/airborne imagery / R. Richter in International Journal of Remote Sensing IJRS, vol 26 n° 15 (August 2005)PermalinkPermalinkA statistical self-organizing learning system for remote sensing classification / H.M. Chi in IEEE Transactions on geoscience and remote sensing, vol 43 n° 8 (August 2005)PermalinkMultivariate texture-based segmentation of remotely sensed imagery for extraction of objects and their uncertainty / Arko Lucieer in International Journal of Remote Sensing IJRS, vol 26 n° 14 (July 2005)PermalinkA comparative analysis of image fusion methods / Z. Wang in IEEE Transactions on geoscience and remote sensing, vol 43 n° 6 (June 2005)PermalinkDesigning fuzzy rule based classifier using self-organizing feature map for analysis of multispectral satellite images / Nikhil R. Pal in International Journal of Remote Sensing IJRS, vol 26 n° 10 (May 2005)PermalinkNeural network model for standard PCA and its variants applied to remote sensing / S. Chitroub in International Journal of Remote Sensing IJRS, vol 26 n° 10 (May 2005)PermalinkA comparison of local variance, fractal dimension, and Moran's index as aids to multispectral image classification / C.W. Emerson in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)PermalinkA whole image approach using field measurements for transforming EO1 Hyperion hyperspectral data into canopy reflectance spectra / E.W. Ramsey in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)Permalink