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On the detection of systematic errors in terrestrial laser scanning data / J. Wang in Journal of applied geodesy, vol 6 n° 3-4 (November 2012)
[article]
Titre : On the detection of systematic errors in terrestrial laser scanning data Type de document : Article/Communication Auteurs : J. Wang, Auteur ; H. Kutterer, Auteur ; X. Fang, Auteur Année de publication : 2012 Article en page(s) : pp 187 - 192 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] algorithme ICP
[Termes IGN] barrage
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] erreur systématique
[Termes IGN] lasergrammétrie
[Termes IGN] modèle de Gauss-Helmert
[Termes IGN] segmentation d'image
[Termes IGN] télémétrie laser sur satelliteRésumé : (Auteur) Quality descriptions are parts of the key tasks of geodetic data processing. Systematic errors should be detected and avoided in order to insure the high quality standards required by structural monitoring. In this study, the iterative closest point (ICP) method was invested to detect systematic errors in two overlapping data sets. There are three steps to process the systematic errors: firstly, one of the data sets was transformed to a reference system by the introduction of the Gauss–Helmert (GH) model. Secondly, quadratic form estimation and segmentation methods are proposed to guarantee the overlapping data sets. Thirdly, the ICP method was employed for a finer registration and detecting the systematic errors. A case study was casted in which a dam surface in Germany was scanned by terrestrial laser scanning (TLS) technology. The results indicated that with the conjugation of ICP algorithm the accuracy of the data sets was improved approximately by 1.6 mm. Numéro de notice : A2012-598 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1515/jag-2012-0025 En ligne : http://www.degruyter.com/view/j/jag.2012.6.issue-3-4/jag-2012-0025/jag-2012-0025 [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32044
in Journal of applied geodesy > vol 6 n° 3-4 (November 2012) . - pp 187 - 192[article]An automated system for image-to-vector georeferencing / Y. Li in Cartography and Geographic Information Science, vol 39 n° 4 (October 2012)
[article]
Titre : An automated system for image-to-vector georeferencing Type de document : Article/Communication Auteurs : Y. Li, Auteur ; R. Briggs, Auteur Année de publication : 2012 Article en page(s) : pp 199 - 217 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] algorithme ICP
[Termes IGN] appariement d'images
[Termes IGN] carrefour
[Termes IGN] Dallas (Texas)
[Termes IGN] données vectorielles
[Termes IGN] extraction automatique
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] géoréférencement indirect
[Termes IGN] image aérienne
[Termes IGN] image satellite
[Termes IGN] intersection spatialeRésumé : (Auteur) Although modern imagery usually has latitude and longitude or similar coordinates to provide true world location, much potentially useful imagery lacks this information. This includes historical imagery, as well as modern imagery that may have lost its locational information through inappropriate processing. Its provision through the process of georeferencing is still primarily a manual procedure. This paper proposes an efficient, fully- automated solution for massively asymmetric image-to-vector georeferencing whereby an image of a relatively small geographic area is automatically located relative to a substantially larger vector map base. For control points, road intersections are automatically extracted from high resolution aerial or satellite imagery using the new concepts of reference circles and central pixels. For automated control point pair identification between image and vector map, an invariant point pattern matching approach is proposed based on shape invariance for similarity transforms and invariant area ratios for affine transforms. The matching algorithm necessitates only a small subset of image points and requires no additional information beyond pixel and map coordinates. Further, it tolerates inaccurate, missing and spurious points, and provides high performance with linear scalability. A final step performs transformation verification, globalization and optimization based upon an Iterative Closest Point Greedy algorithm. Experimentation shows that images covering a few city blocks with as few as 6 to 17 extracted road intersection points can be efficiently and correctly located using the road network of Dallas County, Texas, with over 80,000 intersections. Numéro de notice : A2012-575 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1559/152304063941199 En ligne : https://doi.org/10.1559/152304063941199 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32021
in Cartography and Geographic Information Science > vol 39 n° 4 (October 2012) . - pp 199 - 217[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2012041 RAB Revue Centre de documentation En réserve L003 Disponible Automatic ICP-based global matching of free-form linear features / D. Vassilaki in Photogrammetric record, vol 27 n° 139 (September - November 2012)
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Titre : Automatic ICP-based global matching of free-form linear features Type de document : Article/Communication Auteurs : D. Vassilaki, Auteur ; C. Ioannidis, Auteur ; A. Stamos, Auteur Année de publication : 2012 Article en page(s) : pp 311 - 329 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] algorithme ICP
[Termes IGN] appariement géométrique
[Termes IGN] géoréférencement
[Termes IGN] ligne caractéristique
[Termes IGN] objet géographique linéaireRésumé : (Auteur) The geometric exploitation of linear features has been investigated in various remote sensing and geospatial problems. This paper introduces a novel and general method based on the iterative closest point (ICP) algorithm for the global matching of heterogeneous free-form linear features of the same (2D–2D, 3D–3D), or different, (2D–3D) dimensionality. No constraints are imposed either on the transformation, the projection type or on the geometric nature of the features. The method assumes no prior knowledge of the relative position of the features, or of point correspondences, and is tested with various simulated and real-world heterogeneous data. Numéro de notice : A2012-464 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2012.00692.x Date de publication en ligne : 18/09/2012 En ligne : https://doi.org/10.1111/j.1477-9730.2012.00692.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31910
in Photogrammetric record > vol 27 n° 139 (September - November 2012) . - pp 311 - 329[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2012031 RAB Revue Centre de documentation En réserve L003 Disponible Improving 3D lidar point cloud registration using optimal neighborhood knowledge / Adrien Gressin in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol I-3 (2012)
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Titre : Improving 3D lidar point cloud registration using optimal neighborhood knowledge Type de document : Article/Communication Auteurs : Adrien Gressin , Auteur ; Clément Mallet , Auteur ; Nicolas David , Auteur Année de publication : 2012 Projets : 1-Pas de projet / Conférence : ISPRS 2012, Commission 3, 22th international congress 25/08/2012 01/09/2012 Melbourne Australie OA ISPRS Annals Commission 3 Article en page(s) : pp 111 - 116 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] algorithme ICP
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] semis de points
[Termes IGN] superposition de données
[Termes IGN] tenseur
[Termes IGN] valeur propre
[Termes IGN] voisinage (relation topologique)Résumé : (auteur) Automatic 3D point cloud registration is a main issue in computer vision and photogrammetry. The most commonly adopted solution is the well-known ICP (Iterative Closest Point) algorithm. This standard approach performs a fine registration of two overlapping point clouds by iteratively estimating the transformation parameters, and assuming that good a priori alignment is provided. A large body of literature has proposed many variations of this algorithm in order to improve each step of the process. The aim of this paper is to demonstrate how the knowledge of the optimal neighborhood of each 3D point can improve the speed and the accuracy of each of these steps. We will first present the geometrical features that are the basis of this work. These low-level attributes describe the shape of the neighborhood of each 3D point, computed by combining the eigenvalues of the local structure tensor. Furthermore, they allow to retrieve the optimal size for analyzing the neighborhood as well as the privileged local dimension (linear, planar, or volumetric). Besides, several variations of each step of the ICP process are proposed and analyzed by introducing these features. These variations are then compared on real datasets, as well with the original algorithm in order to retrieve the most efficient algorithm for the whole process. Finally, the method is successfully applied to various 3D lidar point clouds both from airborne, terrestrial and mobile mapping systems. Numéro de notice : A2012-712 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-I-3-111-2012 En ligne : http://dx.doi.org/10.5194/isprsannals-I-3-111-2012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82701
in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol I-3 (2012) . - pp 111 - 116[article]Trajectory-based registration of 3d lidar point clouds acquired with a mobile mapping system / Adrien Gressin in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol I-3 (2012)
[article]
Titre : Trajectory-based registration of 3d lidar point clouds acquired with a mobile mapping system Type de document : Article/Communication Auteurs : Adrien Gressin , Auteur ; Bertrand Cannelle , Auteur ; Clément Mallet , Auteur ; Jean-Pierre Papelard , Auteur Année de publication : 2012 Conférence : ISPRS 2012, Commission 3, 22th international congress 25/08/2012 01/09/2012 Melbourne Australie OA ISPRS Annals Commission 3 Article en page(s) : pp 117 - 122 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] algorithme ICP
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] semis de points
[Termes IGN] système de numérisation mobile
[Termes IGN] traitement de données localisées
[Termes IGN] trajectoire (véhicule non spatial)Résumé : (auteur) Thanks to a hybrid georeferencing unit coupling GNSS and IMU sensors, mobile mapping systems (MMS) with lidar sensors provide accurate 3D point clouds of the acquired areas, mainly urban cities. When dealing with several acquisitions of the same area with the same device, differences in the range of several tens of centimeters can be observed. Such degradation of the georeferencing accuracies are due to two main reasons: inertial drift and losses of GNSS signals in urban corridors. The purpose of this paper is therefore to correct these differences with an accurate ICP-based registration algorithm, and then to correct the MMS trajectory using these retrieved local transformation parameters.The trajectory loop information plays a key role for that purpose. We propose a four-step method starting from a 3D point cloud with overlapping parts, and the trajectory of the mobile mapping system. First, a polygonal approximation of the trajectory is computed in order to first divide the whole registration problem in local sub-issues. Secondly, we aim to find all the potential overlapping acquired areas between these segments using simple bounding box intersections. Thirdly, for each pair of overlapping areas, an efficient variant of the ICP algorithm is proposed to (1) prune cases where segments do not share point clouds of the same areas and (2) retrieve the transformation parameters, for real overlapping cases. Finally, all these transformations are linked together, and fed into a global distance compensation problem, allowing to adjust the MMS trajectories for several passages. As a conclusion, this method is successfully applied to data acquired over Paris (France) with the Stereopolis mobile mapping system. Numéro de notice : A2012-711 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-I-3-117-2012 Date de publication en ligne : 20/07/2012 En ligne : http://dx.doi.org/10.5194/isprsannals-I-3-117-2012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82700
in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol I-3 (2012) . - pp 117 - 122[article]PermalinkMulti-view scans alignment for 3D spherical mosaicing in large-scale unstructured environments / Daniela Craciun in Computer Vision and image understanding, vol 114 n° 11 (November 2010)PermalinkRecalage de relevés laser fixes et mobiles sur MNS pour la cartographie numérique 3D / T. Ridene in Revue Française de Photogrammétrie et de Télédétection, n° 192 (Septembre 2010)PermalinkAugmenting the Iterative Closest Point (ICP) alignment algorithm with intensity / S. Hefford in Geomatica, vol 63 n° 4 (December 2009)PermalinkFinding anomalies in high-density Lidar point clouds / J. Harrison in Geomatica, vol 63 n° 4 (December 2009)PermalinkAutomatic pyramidal intensity-based laser scan matcher for 3D modeling of large scale unstructured environments / Daniela Craciun (2008)PermalinkPermalinkTechniques de reconstruction globale par analyse de paires d'images stéréoscopiques / Jean-Marc Vezien (1995)Permalink