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Positioning configurations with the lowest GDOP and their classification / Shuqiang Xue in Journal of geodesy, vol 89 n° 1 (January 2015)
[article]
Titre : Positioning configurations with the lowest GDOP and their classification Type de document : Article/Communication Auteurs : Shuqiang Xue, Auteur ; Yuanxi Yang, Auteur Année de publication : 2015 Article en page(s) : pp 49 - 71 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] affaiblissement géométrique de la précision
[Termes IGN] constellation GNSS
[Termes IGN] équation linéaire
[Termes IGN] erreur systématique
[Termes IGN] optimisation (mathématiques)
[Termes IGN] orbitographie
[Termes IGN] polyèdre
[Termes IGN] pseudoliteRésumé : (auteur) The positioning configuration optimization is a basic problem in surveying, and the geometric dilution of precision (GDOP) is a key index to handle this problem. Simplex graphs as regular polygons and regular polyhedrons are the well-known configurations with the lowest GDOP. However, it has been proved that there are at most five kinds of regular polyhedrons. We analytically solve the GDOP minimization problem with arbitrary observational freedom to extend the current knowledge. The configuration optimization framework established is composed of the algebraic and geometric operators (including combination, reflection, collinear mapping, projection and three kinds of equivalence relations), basic properties to GDOP minimization (including continuity, combination invariant, reflection invariant, rotation invariant and collinear invariant) and the lowest GDOP configurations (including cones, regular polygons, regular polyhedrons, Descartes configuration, helical configuration and generalized Walker configuration, and their reflections and combinations). GDOP minimization criterion and D-maximization criterion both reduce to the same criterion matrices that the optimization becomes the problem for solving an underdetermined quadratic equation system. Making use of the concepts for solving underdetermined linear equation system, the concepts of base configuration (single classification) and general configuration (combined classification) are applied to the GDOP minimization to analytically solve the quadratic equation system. Firstly, the problems are divided into two subproblems by two kinds of GDOP to reveal the impact of the clock-offset on the configuration optimization, and it shows that the symmetry and uniformity play a key role in identifying the systematic errors. Then, the solution of the GDOP minimization is classified by the number of symmetry axes, that the base configurations with at least one symmetry axis and the general configurations without symmetry axis are categorized to be two large classifications. Complex configurations can be then generated by the combination and the reflection of those base configurations with simplex structure, and this indicates that completely solving the GDOP minimization needs to solve the simplex classifications primarily. Ultimately, constrained or unconstrained configuration optimization examples including GDOP distribution analysis, single-global satellite navigation system (GNSS) or multi-GNSS constellation design, configuration optimization of pseudolites and configuration design of buoys for underwater positioning are performed by employing the properties, lemmas, theorems and corollaries proposed. Numéro de notice : A2015-330 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-014-0760-6 Date de publication en ligne : 14/10/2014 En ligne : https://doi.org/10.1007/s00190-014-0760-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76655
in Journal of geodesy > vol 89 n° 1 (January 2015) . - pp 49 - 71[article]Integrating a raster geographical information system with multi-objective land allocation optimization for conservation reserve design / WeiWei Dai in Transactions in GIS, vol 18 n° 6 (December 2014)
[article]
Titre : Integrating a raster geographical information system with multi-objective land allocation optimization for conservation reserve design Type de document : Article/Communication Auteurs : WeiWei Dai, Auteur ; Samuel J. Ratick, Auteur Année de publication : 2014 Article en page(s) : pp 936 – 949 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] algorithme évolutionniste
[Termes IGN] Bolivie
[Termes IGN] implémentation (informatique)
[Termes IGN] optimisation (mathématiques)
[Termes IGN] réserve naturelle
[Termes IGN] système d'aide à la décision
[Termes IGN] système d'information géographiqueRésumé : (Auteur) The multi-objective land allocation problem is to optimize the selection of land for different uses based on a set of decision objectives. For most applications, a geographical information system (GIS) is either absent or loosely coupled through file exchange. In this article the evolutionary algorithm (EA), a heuristic solution method for optimization problems, is integrated with a raster GIS to form a spatial decision support system (SDSS) for multi-objective conservation reserve design. The SDSS effectively combines the functions of a GIS for data management, analysis, and visualization, with the optimization capability of the EA; and provides a uniform way to solve conservation reserve design problems with different types of constraints and objectives. The SDSS is demonstrated through application to the creation of conservation reserves in Bolivia to protect 17 endemic mammals. Numéro de notice : A2014-578 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12085 Date de publication en ligne : 19/03/2014 En ligne : https://doi.org/10.1111/tgis.12085 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74768
in Transactions in GIS > vol 18 n° 6 (December 2014) . - pp 936 – 949[article]High-resolution fully polarimetric ISAR imaging based on compressive sensing / Wei Qiu in IEEE Transactions on geoscience and remote sensing, vol 52 n° 10 tome 1 (October 2014)
[article]
Titre : High-resolution fully polarimetric ISAR imaging based on compressive sensing Type de document : Article/Communication Auteurs : Wei Qiu, Auteur ; H. Zhao, Auteur ; J. Zhou, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 6119 - 6131 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] acquisition comprimée
[Termes IGN] image ISAR
[Termes IGN] image radar
[Termes IGN] polarimétrie radarRésumé : (Auteur) A 2-D range/cross-range radar image of a target is always sparse since only a few strong scattering centers occupy the whole image plane, and thus, it is quite suitable to apply the compressive sensing (CS) theory to obtain inverse synthetic aperture radar (ISAR) images. In this paper, a novel fully polarimetric ISAR imaging method based on CS is proposed. First, a definition of joint sparsity is given by exploiting the scattering characteristics of a target in fully polarimetric channels. Then, fully polarimetric ISAR images are constructed by means of the sparse recovery algorithm under the constraint of the joint sparsity. This proposed imaging method combines the merits of a full-polarization technique and CS theory, and hence, it has two main advantages: it can provide high-resolution ISAR images with limited measurements, which is a promising technique for reducing data storage; it generates fully polarimetric ISAR images with the number and the positions of the scattering centers aligned in polarimetric channels, which allows for further polarimetric scattering characteristic analysis. Finally, both simulation and experimental results are shown to demonstrate the validity of the proposed approach. Numéro de notice : A2014-486 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2295162 En ligne : https://doi.org/10.1109/TGRS.2013.2295162 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74075
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 10 tome 1 (October 2014) . - pp 6119 - 6131[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014101A RAB Revue Centre de documentation En réserve L003 Disponible On the computation of reliable formal uncertainties in the densification of GPS-levelling networks by least-squares collocation / E. Mysen in Journal of geodesy, vol 88 n° 10 (October 2014)
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Titre : On the computation of reliable formal uncertainties in the densification of GPS-levelling networks by least-squares collocation Type de document : Article/Communication Auteurs : E. Mysen, Auteur Année de publication : 2014 Article en page(s) : pp 917 - 926 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Nivellement
[Termes IGN] collocation par moindres carrés
[Termes IGN] optimisation (mathématiques)
[Termes IGN] précisionRésumé : (Auteur) A realization of a height system covering the south of Norway has been performed, based on least-squares collocation applied to differences between geometric and gravimetric quasigeoid heights, inhomogeneous and isotropic covariance modelling, and without prior information on the error sources of the involved data types. As a result, the derived normal heights were biased by the systematic errors of the GPS-levelling network. The important covariance properties were determined at every location from spatially differenced observations, and made it straightforward to evaluate the uncertainties of the biased height reference. The distribution of predictions followed a Gaussian shape, but extreme realizations were overrepresented. Numéro de notice : A2014-514 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-014-0732-x Date de publication en ligne : 01/06/2014 En ligne : https://doi.org/10.1007/s00190-014-0732-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74118
in Journal of geodesy > vol 88 n° 10 (October 2014) . - pp 917 - 926[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 266-2014101 SL Revue Centre de documentation Revues en salle Disponible Combinatorial clustering and its application to 3D polygonal traffic sign reconstruction from multiple images / Bruno Vallet in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 (September 2014)
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Titre : Combinatorial clustering and its application to 3D polygonal traffic sign reconstruction from multiple images Type de document : Article/Communication Auteurs : Bruno Vallet , Auteur ; Bahman Soheilian , Auteur ; Mathieu Brédif , Auteur Année de publication : 2014 Conférence : PCV 2014, ISPRS Technical Commission 3 Symposium Photogrammetric Computer vision 05/09/2014 07/09/2014 Zurich Suisse OA ISPRS Annals Article en page(s) : pp 165 - 172 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] détection d'objet
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] objet géographique 3D
[Termes IGN] optimisation (mathématiques)
[Termes IGN] reconstruction 3D
[Termes IGN] signalisation routière
[Termes IGN] zone urbaineMots-clés libres : 3D reconstruction, mobile mapping, urban areas, clustering Résumé : (auteur) The 3D reconstruction of similar 3D objects detected in 2D faces a major issue when it comes to grouping the 2D detections into clusters to be used to reconstruct the individual 3D objects. Simple clustering heuristics fail as soon as similar objects are close. This paper formulates a framework to use the geometric quality of the reconstruction as a hint to do a proper clustering. We present a methodology to solve the resulting combinatorial optimization problem with some simplifications and approximations in order to make it tractable. The proposed method is applied to the reconstruction of 3D traffic signs from their 2D detections to demonstrate its capacity to solve ambiguities. Numéro de notice : A2014-492 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-II-3-165-2014 Date de publication en ligne : 07/08/2014 En ligne : http://dx.doi.org/10.5194/isprsannals-II-3-165-2014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80894
in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol II-3 (September 2014) . - pp 165 - 172[article]Regional land-use allocation using a coupled MAS and GA model: from local simulation to global optimization, a case study in Caidian District, Wuhan, China / Man Yuan in Cartography and Geographic Information Science, vol 41 n° 4 (September 2014)PermalinkRegularized simultaneous forward–backward greedy algorithm for sparse unmixing of hyperspectral data / Wei Tang in IEEE Transactions on geoscience and remote sensing, vol 52 n° 9 Tome 1 (September 2014)PermalinkA structure-aware global optimization method for reconstructing 3-D tree models from terrestrial laser scanning data / Z. Wang in IEEE Transactions on geoscience and remote sensing, vol 52 n° 9 Tome 2 (September 2014)PermalinkPermalinkPhase quality optimization in polarimetric differential SAR interferometry / Rubén Iglesias in IEEE Transactions on geoscience and remote sensing, vol 52 n° 5 tome 1 (May 2014)PermalinkA comparative analysis of traveling salesman solutions from geographic information systems / Kevin M. Curtin in Transactions in GIS, vol 18 n° 2 (April 2014)PermalinkA comparative study of two approaches for supporting optimal network location queries / Parisa Ghaemi in Geoinformatica, vol 18 n° 2 (April 2014)PermalinkDynamic positioning configuration and its first-order optimization / Shuqiang Xue in Journal of geodesy, vol 88 n° 2 (February 2014)PermalinkActive learning of user’s preferences estimation towards a personalized 3D navigation of geo-referenced scenes / Christos Yiakoumettis in Geoinformatica, vol 18 n° 1 (January 2014)PermalinkAmélioration de la localisation 3D de données laser terrestre à l'aide de cartes 2D ou modèles 3D / Fabrice Monnier (2014)Permalink