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A point-based methodology for the automatic positional accuracy assessment of geospatial databases / Juan J. Ruiz-Lendínez in Survey review, vol 48 n° 349 (July 2016)
[article]
Titre : A point-based methodology for the automatic positional accuracy assessment of geospatial databases Type de document : Article/Communication Auteurs : Juan J. Ruiz-Lendínez, Auteur ; Francisco Javier Ariza-López, Auteur ; Manuel A. Ureña-Cámara, Auteur Année de publication : 2016 Article en page(s) : pp 269 - 277 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] base de données localisées
[Termes IGN] évaluation
[Termes IGN] points homologues
[Termes IGN] polygone
[Termes IGN] précision du positionnement
[Termes IGN] qualité des donnéesRésumé : (auteur) This paper is based on our earlier paper (Ruiz-Lendínez et al., 2013) of this work and its new contribution is to develop a point-based methodology for the automatic assessment of positional and geometric components of spatial data. The starting point for our approach is the set of homologous polygons obtained according to the methodology developed in Ruiz-Lendínez et al. (2013). From these pairs of polygons, we first have identified and computed homologous points using a metric for comparing polygonal shapes defined by Arkin et al. (1991) and then we have applied a point-based standard developed for assessing the positional accuracy of spatial data. Specifically, we have employed the National Standard Spatial Data Accuracy (NSSDA) standard. The results obtained demonstrate the viability of this point-based evaluation and its potential compared to traditional methods. Numéro de notice : A2016-624 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1179/1752270615Y.0000000030 En ligne : https://doi.org/10.1179/1752270615Y.0000000030 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81827
in Survey review > vol 48 n° 349 (July 2016) . - pp 269 - 277[article]Robust approach for recovery of rigorous sensor model using rational function model / Wen-chao Huang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 7 (July 2016)
[article]
Titre : Robust approach for recovery of rigorous sensor model using rational function model Type de document : Article/Communication Auteurs : Wen-chao Huang, Auteur ; Guo Zhang, Auteur ; Deren Li, Auteur Année de publication : 2016 Article en page(s) : pp 4355 - 4361 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] angle nadiral
[Termes IGN] capteur d'orientation
[Termes IGN] capteur multibande
[Termes IGN] image ZiYuan-3
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] orientation interne
[Termes IGN] système de coordonnéesRésumé : (Auteur) The replacement of the rational function model (RFM) by the rigorous sensor model (RSM) has been studied extensively and verified with many types of sensors and remote-sensing applications. However, relatively less research has been conducted on recovering RSM from RFM, and the few relating techniques can only be applied in specific circumstances. This paper proposes a novel linear method to obtain the position, attitude, and interior orientation (IO) elements of satellites based on the orientation information of the rays implied by the RFM. Instead of resection, forward intersection is used to solve for position, and an equivalent body coordinate system is introduced to overcome the strong correlation between the attitude and IO. The orientation information of the rays implied by the RFM is used to calculate the IO pixel by pixel. Experiments using the Ziyuan 3 panchromatic nadir sensor show that this method can recover the exterior orientation and IO elements effectively. Numéro de notice : A2016-882 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2541144 En ligne : http://dx.doi.org/10.1109/TGRS.2016.2541144 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83046
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 7 (July 2016) . - pp 4355 - 4361[article]Using classification trees to predict forest structure types from LiDAR data / Chiara Torresan in Annals of forest research, vol 59 n° 2 (July - December 2016)
[article]
Titre : Using classification trees to predict forest structure types from LiDAR data Type de document : Article/Communication Auteurs : Chiara Torresan, Auteur ; Piermaria Corona, Auteur ; Gianfranco Scrinzi, Auteur ; Joan Valls Marsal, Auteur Année de publication : 2016 Article en page(s) : pp Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] centroïde
[Termes IGN] classification non dirigée
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] hauteur des arbres
[Termes IGN] structure d'un peuplement forestier
[Termes IGN] surface terrièreNuméro de notice : A2016-908 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.15287/afr.2016.423 En ligne : http://dx.doi.org/10.15287/afr.2016.423 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83077
in Annals of forest research > vol 59 n° 2 (July - December 2016) . - pp[article]An improved ANUDEM method combining topographic correction and DEM interpolation / Xianwei Zheng in Geocarto international, vol 31 n° 5 - 6 (May - June 2016)
[article]
Titre : An improved ANUDEM method combining topographic correction and DEM interpolation Type de document : Article/Communication Auteurs : Xianwei Zheng, Auteur ; H. Xiong, Auteur ; Jianya Gong, Auteur ; Linwei Yue, Auteur Année de publication : 2016 Article en page(s) : pp 492 - 505 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] contour
[Termes IGN] correction topographique
[Termes IGN] détail topographique
[Termes IGN] interpolation spatiale
[Termes IGN] modèle numérique de surface
[Termes IGN] reliefRésumé : (Auteur) Void filling and anomaly replacement in conjunction with auxiliary sources of data have been widely used to improve the quality of existing problematic high-resolution digital elevation models. However, the traditional interpolation methods used for this purpose have always failed to eliminate the discrepancies between different data-sets. In this paper, an improved ANUDEM method is presented for DEM interpolation, which incorporates the idea of topographic correction using high correlation of topological structure between contour lines (CLs) from multi-scale digital elevation models (DEM). Firstly, the terrain topological structure is extracted from the CLs of a low-resolution DEM. The topographic surface correction is then undertaken based on the extracted structure, which recovers the topographic information of the sharp depressions and eminences to fit the high-resolution representation. Finally, the breaklines of the terrain surface are distilled and integrated into the denser DEM generation. The experiments undertaken confirmed the superiority of the proposed method over the other DEM interpolation methods. It is shown that the proposed method can provide results with a higher accuracy, as well as a better visual quality. Numéro de notice : A2016-168 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2015.1059899 Date de publication en ligne : 11/07/2015 En ligne : http://www.tandfonline.com/doi/full/10.1080/10106049.2015.1059899 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80507
in Geocarto international > vol 31 n° 5 - 6 (May - June 2016) . - pp 492 - 505[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2016031 RAB Revue Centre de documentation En réserve L003 Disponible Barycentre method for solving distance equations / X. Shuqiang in Survey review, vol 48 n° 348 (May 2016)
[article]
Titre : Barycentre method for solving distance equations Type de document : Article/Communication Auteurs : X. Shuqiang, Auteur ; Y. Yuanxi, Auteur ; D. Yamin, Auteur Année de publication : 2016 Article en page(s) : pp 188 - 194 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Mathématique
[Termes IGN] algorithme de Gauss-Newton
[Termes IGN] barycentre
[Termes IGN] distance
[Termes IGN] équation
[Termes IGN] itération
[Termes IGN] méthode des moindres carrésRésumé : (auteur) When iteratively solving the distance equations, the Newton’s method has quadratic convergence but it requires the second-order derivatives. The Gauss–Newton’s method needs no information about the second-order derivatives but it may fail without the line search strategy. A simple method called barycentre method is proposed to locally solving the distance equations without the Hessian matrix, the matrix inversion and the line search strategy. The geometrical meaning of the non-linear least-squares solution of the distance equations is revealed that it is the barycentre of a particle system composed of the observational weights at the endpoints of observed distance vectors. By the geometrical meaning of the non-linear least squares, the authors structure an iterative equation to solve the distance equation, and then the convergence and the computational complexity of the method proposed is discussed. It shows that the barycentre method is a conservatively steepest decent method to guarantee the convergence and this method has good performances for solving well-conditioned problems. Ultimately, the method proposed is applied to well-condition and ill-posed positioning equations and the main results are verified. Numéro de notice : A2016-275 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE/POSITIONNEMENT Nature : Article DOI : 10.1179/1752270615Y.0000000020 En ligne : http://doi.org/10.1179/1752270615Y.0000000020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80824
in Survey review > vol 48 n° 348 (May 2016) . - pp 188 - 194[article]Robust approximation of the Medial Axis Transform of LiDAR point clouds as a tool for visualisation / Ravi Peters in Computers & geosciences, vol 90 part A (May 2016)PermalinkThe reliability of RANSAC method when estimating the parameters of geometric object / Tilen Urbančič in Geodetski vestnik, vol 60 n° 1 (March - May 2016)Permalinkµ-shapes: Delineating urban neighborhoods using volunteered geographic information / Matt Aadland in Journal of Spatial Information Science (JoSIS), n° 12 (March 2016)PermalinkDEM-assisted RFM block adjustment of pushbroom nadir viewing HRS imagery / Yongjun Zhang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 2 (February 2016)PermalinkPermalinkContributions à la segmentation non supervisée d'images hyperspectrales : trois approches algébriques et géométriques / Saadallah El Asmar (2016)PermalinkEléments de géodésie et de la théorie des moindres carrés / Abdelmajid Ben Hadj Salem (février 2016)PermalinkLa France accroît sa superficie / Estelle Viarde in Géomètre, n° 2132 (janvier 2016)PermalinkFusion of hyperspectral images and digital surface models for urban object extraction / Janja Avbelj (2016)PermalinkIndoor navigation of mobile robots based on visual memory and image-based visual servoing / Suman Raj Bista (2016)PermalinkPhotogrammetric computer vision / Wolfgang Förstner (2016)PermalinkAutomatically enhancing CityGML LOD2 models with a corresponding indoor geometry / Roeland Boeters in International journal of geographical information science IJGIS, vol 29 n° 12 (December 2015)PermalinkMeasuring urban volume: geospatial technique and application / Ronald C. Estoque in Tsukuba geoenvironmental sciences, vol 11 ([01/12/2015])PermalinkA robust mosaicking procedure for high spatial resolution remote sensing images / Xinghua Li in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)PermalinkA geometric method for wood-leaf separation using terrestrial and simulated Lidar data / Shengli Tao in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 10 (October 2015)PermalinkMorphing linear features based on their entire structures / Min Deng in Transactions in GIS, vol 19 n° 5 (October 2015)PermalinkPolygonal clustering analysis using multilevel graph-partition / Wanyi Wang in Transactions in GIS, vol 19 n° 5 (October 2015)PermalinkSELF: Semantically Enriched Line simpliFication / Emmanuel Stefanakis in International journal of geographical information science IJGIS, vol 29 n° 10 (October 2015)PermalinkContextual Douglas-Peucker Simplification / Titus Tienaah in Geomatica, vol 69 n° 3 (september 2015)PermalinkIllustration 3D de la Méthode du Plan des Sommets pour la détermination du point au large / Yves Robin-Jouan in Navigation aérienne, maritime, spatiale, terrestre, vol 62 n° 248 (septembre 2015)Permalink