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Evaluation of modified four-component scattering power decomposition method over highly rugged glaciated terrain / G. Singh in Geocarto international, vol 27 n° 2 (March 2012)
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Titre : Evaluation of modified four-component scattering power decomposition method over highly rugged glaciated terrain Type de document : Article/Communication Auteurs : G. Singh, Auteur ; Yasushi Yamaguchi, Auteur ; S. Park, Auteur ; R. Avtar, Auteur Année de publication : 2012 Article en page(s) : pp 139 - 151 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] décomposition d'image
[Termes IGN] décomposition spectrale
[Termes IGN] glace
[Termes IGN] Himalaya
[Termes IGN] image radar moirée
[Termes IGN] polarimétrie radarRésumé : (Auteur) In recent years, there has been increased utilization of fully polarimetric synthetic aperture radar (POLSAR) data to study glaciated terrain features for glaciological and climate change modelling. This article is concerned with more accurate results and appropriate analysis of POLSAR data over a highly rugged glaciated area in Himalayan region. For this purpose, the modified Yamaguchi four-component scattering power decomposition (4-CSPD) method with a rotation concept of 3 x 3 coherency matrix [T] about line of sight is evaluated. It has been found that the modified Yamaguchi 4-CSPD method significantly improved the decomposition results as compared with the original 4-CSPD by minimizing the cross-polarized Horizontal-Vertical (HV) components. This modified 4-CSPD leads to enhancement in the double bounce scattering and surface scattering components and also avoids the overestimation problem in the volume scattering component as compared with the original 4-CSPD from the sloped terrain. The significant reductions of the negative power occurrence in the surface scattering (3.9%) and the double bounce scattering (19.7%) components have also been noticed as compared with the original 4-CSPD method over the glaciated area in this part of the Indian Himalaya. Numéro de notice : A2012-127 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.626082 Date de publication en ligne : 20/10/2011 En ligne : https://doi.org/10.1080/10106049.2011.626082 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31575
in Geocarto international > vol 27 n° 2 (March 2012) . - pp 139 - 151[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2012021 RAB Revue Centre de documentation En réserve L003 Disponible Extraction of building roof contours from LiDAR data using a Markov-random-field-based approach / E. Dos Santos Galvanin in IEEE Transactions on geoscience and remote sensing, vol 50 n° 3 (March 2012)
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Titre : Extraction of building roof contours from LiDAR data using a Markov-random-field-based approach Type de document : Article/Communication Auteurs : E. Dos Santos Galvanin, Auteur ; A. Dal Poz, Auteur Année de publication : 2012 Article en page(s) : pp 981 - 987 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] algorithme du recuit simulé
[Termes IGN] bati
[Termes IGN] champ aléatoire de Markov
[Termes IGN] détection de contours
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction automatique
[Termes IGN] toitRésumé : (Auteur) This paper proposes a method for the automatic extraction of building roof contours from a digital surface model (DSM) by regularizing light detection and ranging (LiDAR) data. The method uses two steps. First, to detect aboveground objects (buildings, trees, etc.), the DSM is segmented through a recursive splitting technique followed by a region-merging process. Vectorization and polygonization are used to obtain polyline representations of the detected aboveground objects. Second, building roof contours are identified from among the aboveground objects by optimizing a Markov-random-field-based energy function that embodies roof contour attributes and spatial constraints. The optimal configuration of building roof contours is found by minimizing the energy function using a simulated annealing algorithm. Experiments carried out with the LiDAR-based DSM show that the proposed method works properly, as it provides roof contour information with approximately 90% shape accuracy and no verified false positives. Numéro de notice : A2012-101 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2163823 Date de publication en ligne : 15/09/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2163823 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31549
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 3 (March 2012) . - pp 981 - 987[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2012031 RAB Revue Centre de documentation En réserve L003 Disponible Geoportal.DE: ein Blick in die Geodateninfrastuktur Deutschland / S. Schmitz in ZFV, Zeitschrift für Geodäsie, Geoinformation und Landmanagement, vol 137 n° 2 (01/03/2012)
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Titre : Geoportal.DE: ein Blick in die Geodateninfrastuktur Deutschland Type de document : Article/Communication Auteurs : S. Schmitz, Auteur Année de publication : 2012 Article en page(s) : pp 69 - 74 Note générale : Bibliographie Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] Allemagne
[Termes IGN] catalogue de données localisées
[Termes IGN] géoportail
[Termes IGN] infrastructure nationale des données localisées
[Termes IGN] orthoimage
[Termes IGN] service web géographiqueRésumé : (Auteur) Geoportal.DE reveals the contents of the Spatial Data Infrastructure of Germany (GDI-DE). It utilizes several Web Services from GDI-DE. Users can promptly search within the central search engine of GDI-DE (Geodatenkatalog-DE), which currently contains around 80.000 decentrally maintained sets of metadata on spatial data and spatial data services from across all levels of public administration in Germany. Many of the described spatial data sets can be easily added to the Map Viewer, which offers three different background maps based on the official basic spatial data from the surveying authorities of the federaI states: the WebAtlasDE (color, gray) and digital orthoimages. Geoportal.DE is completed by a search utility for places and addresses and several thematic maps covering Germany. This contribution describes the technical architecture and gives details on the utilized Web Services from GDI-DE. Numéro de notice : A2012-266 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31712
in ZFV, Zeitschrift für Geodäsie, Geoinformation und Landmanagement > vol 137 n° 2 (01/03/2012) . - pp 69 - 74[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 199-2012021 RSREV Revue Centre de documentation Revues en salle Disponible Hyperspectral unmixing based on mixtures of Dirichlet components / J. Nascimento in IEEE Transactions on geoscience and remote sensing, vol 50 n° 3 (March 2012)
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Titre : Hyperspectral unmixing based on mixtures of Dirichlet components Type de document : Article/Communication Auteurs : J. Nascimento, Auteur ; José Bioucas-Dias, Auteur Année de publication : 2012 Article en page(s) : pp 863 - 878 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] classification non dirigée
[Termes IGN] données lidar
[Termes IGN] image hyperspectrale
[Termes IGN] problème de DirichletRésumé : (Auteur) This paper introduces a new unsupervised hyperspectral unmixing method conceived to linear but highly mixed hyperspectral data sets, in which the simplex of minimum volume, usually estimated by the purely geometrically based algorithms, is far way from the true simplex associated with the endmembers. The proposed method, an extension of our previous studies, resorts to the statistical framework. The abundance fraction prior is a mixture of Dirichlet densities, thus automatically enforcing the constraints on the abundance fractions imposed by the acquisition process, namely, nonnegativity and sum-to-one. A cyclic minimization algorithm is developed where the following are observed: 1) The number of Dirichlet modes is inferred based on the minimum description length principle; 2) a generalized expectation maximization algorithm is derived to infer the model parameters; and 3) a sequence of augmented Lagrangian-based optimizations is used to compute the signatures of the endmembers. Experiments on simulated and real data are presented to show the effectiveness of the proposed algorithm in unmixing problems beyond the reach of the geometrically based state-of-the-art competitors. Numéro de notice : A2012-100 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2163941 En ligne : https://doi.org/10.1109/TGRS.2011.2163941 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31548
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 3 (March 2012) . - pp 863 - 878[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2012031 RAB Revue Centre de documentation En réserve L003 Disponible Integrated point and edge matching on poor textural images constrained by self-adaptive triangulations / B. Wu in ISPRS Journal of photogrammetry and remote sensing, vol 68 (March 2012)
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Titre : Integrated point and edge matching on poor textural images constrained by self-adaptive triangulations Type de document : Article/Communication Auteurs : B. Wu, Auteur ; Y. Zhang, Auteur ; Q. Zhu, Auteur Année de publication : 2012 Article en page(s) : pp 40 - 55 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] appariement d'images
[Termes IGN] détection de contours
[Termes IGN] point d'appui
[Termes IGN] reconstruction 3D
[Termes IGN] triangulation de DelaunayRésumé : (Auteur) This paper presents an innovative image matching method for reliable and dense image matching on poor textural images, which is the integrated point and edge matching based on the self-adaptive edge-constrained triangulations. Firstly, several seed points and seed edges are obtained on the stereo images, and they are used to construct a pair of initial edge-constrained triangulations on the images. Then, points and edges are matched based on the triangle constraint and other constraints. The newly matched points and edges are inserted into the triangulations and the constrained triangulations are updated dynamically along with the matching propagation. The final results will be the final edge-constrained triangulations generated from the successfully matched points and edges. Experiments using typical space-borne, airborne, and terrestrial images with poor textures revealed that the integrated point and edge matching method based on self-adaptive triangulations is able to produce dense and reliable matching results. Moreover, from the final matched points and edges, 3D points and edges preserving the physical boundaries of objects can be further derived based on photogrammetric techniques, which is ideal for further object modeling applications. Numéro de notice : A2012-146 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.12.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.12.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31593
in ISPRS Journal of photogrammetry and remote sensing > vol 68 (March 2012) . - pp 40 - 55[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2012021 SL Revue Centre de documentation Revues en salle Disponible Mathematical morphology-based generalization of complex 3D building models incorporating semantic relationships / J. Zhao in ISPRS Journal of photogrammetry and remote sensing, vol 68 (March 2012)
PermalinkMonitoring disasters with a constellation of satellites - type examples from the International Charter ‘Space and Major Disasters’ / A. Mahmood in Geocarto international, vol 27 n° 2 (March 2012)
PermalinkNumérisation et modélisation de la Caune de l'Arago / Anonyme in Géomatique expert, n° 85 (01/03/2012)
PermalinkRelative radiometric correction of multi-temporal ALOS AVNIR-2 data for the estimation of forest attributes / Q. Xu in ISPRS Journal of photogrammetry and remote sensing, vol 68 (March 2012)
PermalinkReview of developments in geometric modelling for high resolution satellite pushbroom sensors / Daniela Poli in Photogrammetric record, vol 27 n° 137 (March - May 2012)
PermalinkRoad network extraction in suburban areas / A. Grote in Photogrammetric record, vol 27 n° 137 (March - May 2012)
PermalinkUtilisation d'images à haute et très haute résolution pour la mise à jour de la carte de l'Aquila (Italie) / Valerio Baiocchi in Géomatique expert, n° 85 (01/03/2012)
PermalinkWeb-based geoprocessing and workflow creation for generating and providing remote sensing products / J. Eberle in Geomatica, vol 66 n° 1 (March 2012)
PermalinkCoupled nonnegative matrix factorization unmixing for hyperspectral and multispectral data fusion / N. Yokoya in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
PermalinkFiltering and segmentation of polarimetric SAR data based on binary partition trees / A. Alonso-Gonzalez in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
PermalinkMarkov Chain CFAR detection for polarimetric data using data fusion / C. Fei in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
PermalinkMeasuring historical coastal change using GIS and the change polygon approach / M. Smith in Transactions in GIS, vol 16 n° 1 (February 2012)
PermalinkA simple and robust feature point matching algorithm based on restricted spatial order constraints for aerial image registration / Z. Liu in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
PermalinkUsefulness of synthetic aperture radar (SAR) interferometry for digital elevation model (DEM) generation and estimation of land surface displacement in Jharia coal field area / Atanu Bhattacharya in Geocarto international, vol 27 n° 1 (February 2012)
PermalinkPermalinkAbleitung von Bewegungsstrategien zur automatisierten, vollständigen Vermessung von Innerraumszenen auf autonom navigierender Plattform / Alexander Fietz (2012)
PermalinkAchieving big results from small sensors / A. Aflalo in GEO: Geoconnexion international, vol 11 n° 1 (january 2012)
PermalinkDe l'acquisition 3D à la réalité augmentée : le cas de l'église de la Chartreuse pontificale de Villeneuve-lès-Avignon (Gard) / Aurélie Favre-Brun in Revue Française de Photogrammétrie et de Télédétection, n° 196 (Janvier 2012)
PermalinkPermalinkAn accuracy assessment of automated photogrammetric techniques for 3D modeling of complex interiors / Athanasios Georgantas (2012)
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