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Thematic knowledge for the generalization of land use data / Wenxiu Gao in Cartographic journal (the), vol 41 n° 3 (December 2004)
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Titre : Thematic knowledge for the generalization of land use data Type de document : Article/Communication Auteurs : Wenxiu Gao, Auteur ; J. Gong, Auteur ; Z. Li, Auteur Année de publication : 2004 Article en page(s) : pp 245 - 252 Langues : Anglais (eng) Descripteur : [Termes IGN] agriculture
[Termes IGN] base de données thématiques
[Termes IGN] carte topographique
[Termes IGN] classification
[Termes IGN] cognition
[Termes IGN] connaissance thématique
[Termes IGN] généralisation de base de données
[Termes IGN] utilisation du sol
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) Knowledge, especially the special knowledge about land use itself, is an indispensable component for guiding the whole process of land use data generalization. In this study, such knowledge is classified into two broad types, i.e. general knowledge and thematic knowledge. General knowledge covers the basic and common restrictions and specifications for generalization of geographic data. Thematic knowledge describes the special restrictions and specifications for a specific geographic data application. The paper emphasizes the use of thematic knowledge in detail for land use data generalization. Three main types of thematic knowledge are identified, i.e. nature-based, culture-based and application-specific. Such thematic knowledge is then represented using the so-called production-rule method to become generalization rules. These rules are built in a prototype system to guide the implementation of land use data generalization. Real-life data have been used for testing and very promising results have been obtained from this system. Numéro de notice : A2004-609 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/00087040X13959 En ligne : https://doi.org/10.1179/00087040X13959 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27125
in Cartographic journal (the) > vol 41 n° 3 (December 2004) . - pp 245 - 252[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 030-04031 RAB Revue Centre de documentation En réserve L003 Disponible Discrimination potential of X-band polarimetric SAR data / Nicolas Baghdadi in International Journal of Remote Sensing IJRS, vol 25 n° 22 (November 2004)
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Titre : Discrimination potential of X-band polarimetric SAR data Type de document : Article/Communication Auteurs : Nicolas Baghdadi, Auteur ; N. Holah, Auteur ; P. Dubois-Fernandez, Auteur ; L. Prevot, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 4933 - 4943 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse discriminante
[Termes IGN] anisotropie
[Termes IGN] Avignon
[Termes IGN] bande X
[Termes IGN] données polarimétriques
[Termes IGN] image radar moirée
[Termes IGN] image RAMSES
[Termes IGN] Radar Aéroporté Multi-Spectral d'Etude des Signatures
[Termes IGN] sol nuRésumé : (Auteur) In anticipation of X-band polarimetric Synthetic Aperture Radar (SAR) data from future sensors, we investigated the potential of X-band fully polarimetric data for discriminating between the principal classes present in a study site near Avignon, France. Decomposition and analysis techniques have been applied to a dataset acquired by the ONERA airborne RAMSES (Radar Aéroporté Multi-Spectral d'Etude des Signatures) SAR. Results show that X-band provides some discrimination capability. The polarimetric parameters, entropy and Ü-angle, show clearly that these signature classes are grouped into five clusters corresponding to physical scattering characteristics. The introduction of the anisotropy parameter does not increase our ability to distinguish between different classes whose clusters are in the same entropy/Ü-angle zone. The correlation observed between the radar signal and the surface roughness over bare soils is very low. Numéro de notice : A2004-488 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160412231269652 En ligne : https://doi.org/10.1080/01431160412231269652 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27006
in International Journal of Remote Sensing IJRS > vol 25 n° 22 (November 2004) . - pp 4933 - 4943[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04201 RAB Revue Centre de documentation En réserve L003 Exclu du prêt A comparison of error metrics and constraints for multiple endmember spectral analysis and spectral angle mapper / P.E. Dennison in Remote sensing of environment, vol 93 n° 3 (15/11/2004)
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Titre : A comparison of error metrics and constraints for multiple endmember spectral analysis and spectral angle mapper Type de document : Article/Communication Auteurs : P.E. Dennison, Auteur ; K. Halligan, Auteur ; D.A. Roberts, Auteur Année de publication : 2004 Article en page(s) : pp 359 - 367 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] albedo
[Termes IGN] analyse comparative
[Termes IGN] analyse de mélange spectral d’extrémités multiples
[Termes IGN] appariement spectral
[Termes IGN] calcul d'erreur
[Termes IGN] classe d'objets
[Termes IGN] classification Spectral angle mapper
[Termes IGN] erreur moyenne quadratique
[Termes IGN] métriqueRésumé : (Auteur) Spectral matching algorithms can be used for the identification of unknown spectra based on a measure of similarity with one or more known spectra. Two popular spectral matching algorithms use different error metrics and constraints to determine the existence of a spectral match. Multiple endmember spectral mixture analysis (MESMA) is a linear mixing model that uses a root mean square error (RMSE) error metric. Spectral angle mapper (SAM) compares two spectra using a spectral angle error metric. This paper compares two endmember MESMA and SAM using a spectral library containing six land cover classes. RMSE and spectral angle for models within each land cover class were directly compared. The dependence of RMSE on the albedo of the modeled spectrum was also explored. RMSE and spectral angle were found to be closely related, although not equivalent, due to variations in the albedo of the modeled spectra. Error constraints applied to both models resulted in large differences in the number of spectral matches. Using MESMA, the number of spectra modeled within the error constraint increased as the albedo of the modeled spectra decreased. The value of the error constraint used was shown to make a much larger difference in the number of spectra modeled than the choice of spectral matching algorithm. Numéro de notice : A2004-440 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.07.013 En ligne : https://doi.org/10.1016/j.rse.2004.07.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26960
in Remote sensing of environment > vol 93 n° 3 (15/11/2004) . - pp 359 - 367[article]Detection of buried targets via active selection of labeled data: Application to sensing subsurface UXO / Y. Zhang in IEEE Transactions on geoscience and remote sensing, vol 42 n° 11 (November 2004)
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Titre : Detection of buried targets via active selection of labeled data: Application to sensing subsurface UXO Type de document : Article/Communication Auteurs : Y. Zhang, Auteur ; X. Liao, Auteur ; L. Carin, Auteur Année de publication : 2004 Article en page(s) : pp 2535 - 2543 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] cible cachée
[Termes IGN] classification
[Termes IGN] détection de cible
[Termes IGN] erreur moyenne quadratique
[Termes IGN] matrice
[Termes IGN] matrice d'information de Fischer
[Termes IGN] mine antipersonnel
[Termes IGN] signature spectraleRésumé : (Auteur) When sensing subsurface targets, such as land-mine and unexploded ordnance (UXO), the target signatures are typically a strong function of environmental and historical circumstances. Consequently, it is difficult to constitute a universal training set for design of detection or classification algorithms. In this paper, we develop an efficient procedure by which information-theoretic concepts are used to design the basis functions and training set, directly from the site-specific measured data specifically, assume that measured data (e.g., induction and/or magnetometer) are available from a given site, unlabeled in the sense that it is not known a priori whether a given signature is associated with a target or clutter. For N signatures, the data may be expressed as {Xi, Yi}i=1,N, where xi is the measured data or buried object i, and yi is the associated unknown binary label (target/nontarget). Let the N xi define the set X. The algorithm works in four steps : 1) the Fisher information matrix is used to select a set of basis functions for the kernel-based algorithm, this step defining a set of n signatures Bn X that are most informative in characterizing the signature distribution of the site; 2) the Fisher information matrix is used again to define a small subset Xs X, composed of those xi for which knowledge of the associated labels yi would be most informative in defining the weights, for the basis functions in Bn ; 3) the buried objects associated with the signatures in Xs., are excavated, yielding the associated labels yi, represented by the set Ys.; and 4) using Bn, Xs, and Ys, a kernel-based classifier is designed for use in classifying all remaining buried objects. This framework is discussed in detail, with example results presented for an actual buried-UXO site. Numéro de notice : A2004-462 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.836270 En ligne : https://doi.org/10.1109/TGRS.2004.836270 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26982
in IEEE Transactions on geoscience and remote sensing > vol 42 n° 11 (November 2004) . - pp 2535 - 2543[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-04111 RAB Revue Centre de documentation En réserve L003 Disponible Filtering airborne Laser scanner data: a wavelet-based clustering method / T. Thuy in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 11 (November 2004)
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Titre : Filtering airborne Laser scanner data: a wavelet-based clustering method Type de document : Article/Communication Auteurs : T. Thuy, Auteur ; M. Tokunaga, Auteur Année de publication : 2004 Article en page(s) : pp 1267 - 1274 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse de groupement
[Termes IGN] analyse multirésolution
[Termes IGN] données laser
[Termes IGN] erreur moyenne quadratique
[Termes IGN] filtrage numérique d'image
[Termes IGN] modèle de dispersion
[Termes IGN] modèle numérique de terrain
[Termes IGN] pente
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] Stuttgart
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] Tokyo (Japon)
[Termes IGN] transformation en ondelettesRésumé : (Auteur) Filtering the airborne laser scanner data is challenging due to the complex distribution of objects on Earth's surface and it is still in development stage. This problem has been investigated so far with varieties of algorithms, but they suffer from different magnitudes of drawbacks. This study proposed a new and improved hybrid method based on multi-resolution analysis. Wavelet was adopted in this multi-resolution clustering approach. It enabled the classification of objects based on their size and the efficiency to filter out unwanted information at a specific resolution, and the proposed algorithm is named the ALSwave (Airborne Laser Scanner Wavelet) method. ALSwave has been tested on two data sets acquired over the urban areas of Tokyo, Japan and Stuttgart, Germany. The results showed a well-filtered, bare earth surface coupled with acceptable computational time. The accuracy assessment was carried out by comparison between the filtered bare earth surface by ALSwave and the manually filtered surface. The Root Mean Square Error (RMSE) follows a linear relationship with respect to terrain slope. This wavelet-based approach has opened a new way to filter the raw laser data that subsequently generates fast and more accurate digital terrain models. Numéro de notice : A2004-457 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.11.1267 En ligne : https://doi.org/10.14358/PERS.70.11.1267 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26977
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 11 (November 2004) . - pp 1267 - 1274[article]Knowledge-based approaches to accurate mapping of mangroves from satellite data / J. Gao in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 11 (November 2004)
PermalinkSecurity risks of geospatial information / B.E. Lachmann in GIM international, vol 18 n° 11 (November 2004)
PermalinkThe contribution of the sources separation method in the decomposition of mixed pixels / Mohamed Saber Naceur in IEEE Transactions on geoscience and remote sensing, vol 42 n° 11 (November 2004)
PermalinkThe development of superspectral approaches for the improvement of land cover classification / M. Gianinetto in IEEE Transactions on geoscience and remote sensing, vol 42 n° 11 (November 2004)
PermalinkMaritime aerosol optical thickness measured by handheld sun photometers / K.D. Knobelspiesse in Remote sensing of environment, vol 93 n° 1 (30/10/2004)
PermalinkDetection of land use/land cover changes for the northern part of the Nile delta (Burullus region), Egypt / Kh. M. Dewidar in International Journal of Remote Sensing IJRS, vol 25 n° 20 (October 2004)
PermalinkLinking spatial patterns of bird and butterfly species richness with Landsat TM derived NDVI / K.C. Seto in International Journal of Remote Sensing IJRS, vol 25 n° 20 (October 2004)
PermalinkIs the Amik Basin (SE Turkey) a triple-junction area? Analyses of SPOT XS imagery and seismicity / S. Over in International Journal of Remote Sensing IJRS, vol 25 n° 19 (October 2004)
PermalinkTerrain modeling and airborne Laser data classification using multiple pass filtering / Frédéric Bretar (01/10/2004)
PermalinkApplication d'une méthode de classification orientée objet pour la cartographie de l'occupation du sol : résultats sur ASTER et Landsat ETM / Christina Corbane in Revue Française de Photogrammétrie et de Télédétection, n° 175 (Septembre 2004)
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