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Direct georeferencing of airborne LiDAR data in national coordinates / Yongjun Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 84 (October 2013)
[article]
Titre : Direct georeferencing of airborne LiDAR data in national coordinates Type de document : Article/Communication Auteurs : Yongjun Zhang, Auteur ; Xiang Shen, Auteur Année de publication : 2013 Article en page(s) : pp 43 - 51 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] Chine
[Termes IGN] coordonnées géodésiques
[Termes IGN] déformation de projection
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] géoréférencement direct
[Termes IGN] orientation externe
[Termes IGN] projection
[Termes IGN] système de référence local
[Termes IGN] transformation de coordonnéesRésumé : (Auteur) The topographic mapping products of airborne light detection and ranging (LiDAR) are usually required in the national coordinates (i.e., using the national datum and a conformal map projection). Since the spatial scale of the national datum is usually slightly different from the World Geodetic System 1984 (WGS 84) datum, and the map projection frame is not Cartesian, the georeferencing process in the national coordinates is inevitably affected by various geometric distortions. In this paper, all the major direct georeferencing distortion factors in the national coordinates, including one 3D scale distortion (the datum scale factor distortion), one height distortion (the earth curvature distortion), two length distortions (the horizontal-to-geodesic length distortion and the geodesic-to-projected length distortion), and three angle distortions (the skew-normal distortion, the normal-section-to-geodesic distortion, and the arc-to-chord distortion) are identified and demonstrated in detail; and high-precision map projection correction formulas are provided for the direct georeferencing of the airborne LiDAR data. Given the high computational complexity of the high-precision map projection correction approach, some more approximate correction formulas are also derived for the practical calculations. The simulated experiments show that the magnitude of the datum scale distortion can reach several centimeters to decimeters for the low (e.g., 500 m) and high (e.g., 8000 m) flying heights, and therefore it always needs to be corrected. Our proposed practical map projection correction approach has better accuracy than Legat’s approach,1 but it needs 25% more computational cost. As the correction accuracy of Legat’s approach can meet the requirements of airborne LiDAR data with low and medium flight height (up to 3000 m above ground), our practical correction approach is more suitable to the high-altitude aerial imagery. The residuals of our proposed high-precision map projection correction approach are trivial even for the high flight height of 8000 m. It can be used for the theoretical applications such as the accurate evaluation of different GPS/INS attitude transformation methods to the national coordinates. Numéro de notice : A2013-516 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.07.003 Date de publication en ligne : 01/08/2013 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.07.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32653
in ISPRS Journal of photogrammetry and remote sensing > vol 84 (October 2013) . - pp 43 - 51[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013101 RAB Revue Centre de documentation En réserve L003 Disponible Out-of-core GPU-based change detection in massive 3D point clouds / Rico Richter in Transactions in GIS, vol 17 n° 5 (October 2013)
[article]
Titre : Out-of-core GPU-based change detection in massive 3D point clouds Type de document : Article/Communication Auteurs : Rico Richter, Auteur ; Jan Eric Kiprianidis, Auteur ; Jürgen Döllner, Auteur Année de publication : 2013 Article en page(s) : pp 724 - 741 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] attribut
[Termes IGN] détection de changement
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] processeur graphique
[Termes IGN] semis de points
[Termes IGN] structure de données localisées
[Termes IGN] visualisation 3D
[Termes IGN] visualisation simultanéeRésumé : (Auteur) If sites, cities, and landscapes are captured at different points in time using technology such as LiDAR, large collections of 3D point clouds result. Their efficient storage, processing, analysis, and presentation constitute a challenging task because of limited computation, memory, and time resources. In this work, we present an approach to detect changes in massive 3D point clouds based on an out-of-core spatial data structure that is designed to store data acquired at different points in time and to efficiently attribute 3D points with distance information. Based on this data structure, we present and evaluate different processing schemes optimized for performing the calculation on the CPU and GPU. In addition, we present a point-based rendering technique adapted for attributed 3D point clouds, to enable effective out-of-core real-time visualization of the computation results. Our approach enables conclusions to be drawn about temporal changes in large highly accurate 3D geodata sets of a captured area at reasonable preprocessing and rendering times. We evaluate our approach with two data sets from different points in time for the urban area of a city, describe its characteristics, and report on applications. Numéro de notice : A2013-579 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01362.x Date de publication en ligne : 05/12/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01362.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32715
in Transactions in GIS > vol 17 n° 5 (October 2013) . - pp 724 - 741[article]Urban accessibility diagnosis from mobile laser scanning data / Andrès Serna in ISPRS Journal of photogrammetry and remote sensing, vol 84 (October 2013)
[article]
Titre : Urban accessibility diagnosis from mobile laser scanning data Type de document : Article/Communication Auteurs : Andrès Serna, Auteur ; Beatriz Marcotegui, Auteur Année de publication : 2013 Article en page(s) : pp 23 - 32 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] accessibilité
[Termes IGN] calcul d'itinéraire
[Termes IGN] courbe de Bézier
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] milieu urbain
[Termes IGN] segmentation
[Termes IGN] semis de pointsRésumé : (Auteur) In this paper, we present an approach for automatic analysis of urban accessibility using 3D point clouds. Our approach is based on range images and it consists in two main steps: urban objects segmentation and curbs detection. Both of them are required for accessibility diagnosis and itinerary planning. Our method automatically segments facades and urban objects using two hypotheses: facades are the highest vertical structures in the scene and objects are bumps on the ground on the range image. The segmentation result is used to build an urban obstacle map. After that, the gradient is computed on the ground range image. Curb candidates are selected using height and geodesic features. Then, nearby curbs are reconnected using Bézier curves. Finally, accessibility is defined based on geometrical features and accessibility standards. Our methodology is tested on two MLS databases from Paris (France) and Enschede (The Netherlands). Our experiments show that our method has good detection rates, is fast and presents few false alarms. Our method outperforms other works reported in the literature on the same databases. Numéro de notice : A2013-514 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.07.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.07.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32651
in ISPRS Journal of photogrammetry and remote sensing > vol 84 (October 2013) . - pp 23 - 32[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013101 RAB Revue Centre de documentation En réserve L003 Disponible Automatic extraction of building roofs using LIDAR data and multispectral imagery / Mohammad Awrangjeb in ISPRS Journal of photogrammetry and remote sensing, vol 83 (September 2013)
[article]
Titre : Automatic extraction of building roofs using LIDAR data and multispectral imagery Type de document : Article/Communication Auteurs : Mohammad Awrangjeb, Auteur ; Chunsun Zhang, Auteur ; Clive Simpson Fraser, Auteur Année de publication : 2013 Article en page(s) : pp 1 - 18 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] classification dirigée
[Termes IGN] détection de contours
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] image multibande
[Termes IGN] modèle numérique de terrain
[Termes IGN] toitRésumé : (Auteur) Automatic 3D extraction of building roofs from remotely sensed data is important for many applications including city modelling. This paper proposes a new method for automatic 3D roof extraction through an effective integration of LIDAR (Light Detection And Ranging) data and multispectral orthoimagery. Using the ground height from a DEM (Digital Elevation Model), the raw LIDAR points are separated into two groups. The first group contains the ground points that are exploited to constitute a ‘ground mask’. The second group contains the non-ground points which are segmented using an innovative image line guided segmentation technique to extract the roof planes. The image lines are extracted from the grey-scale version of the orthoimage and then classified into several classes such as ‘ground’, ‘tree’, ‘roof edge’ and ‘roof ridge’ using the ground mask and colour and texture information from the orthoimagery. During segmentation of the non-ground LIDAR points, the lines from the latter two classes are used as baselines to locate the nearby LIDAR points of the neighbouring planes. For each plane a robust seed region is thereby defined using the nearby non-ground LIDAR points of a baseline and this region is iteratively grown to extract the complete roof plane. Finally, a newly proposed rule-based procedure is applied to remove planes constructed on trees. Experimental results show that the proposed method can successfully remove vegetation and so offers high extraction rates. Numéro de notice : A2013-486 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.05.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.05.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32624
in ISPRS Journal of photogrammetry and remote sensing > vol 83 (September 2013) . - pp 1 - 18[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013091 RAB Revue Centre de documentation En réserve L003 Disponible Development of a vector-based method for coastal bluffline mapping using LiDAR data and a comparison study in the area of lake Erie / Yunjae Choung in Marine geodesy, vol 36 n° 3 (September - November 2013)
[article]
Titre : Development of a vector-based method for coastal bluffline mapping using LiDAR data and a comparison study in the area of lake Erie Type de document : Article/Communication Auteurs : Yunjae Choung, Auteur ; Rongxing Li, Auteur ; Myung-Hee Jo, Auteur Année de publication : 2013 Article en page(s) : pp 285 - 302 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Erié, lac
[Termes IGN] extraction du relief
[Termes IGN] falaise
[Termes IGN] Ohio (Etats-Unis)
[Termes IGN] pente
[Termes IGN] rivage
[Termes IGN] triangulation de DelaunayRésumé : (Auteur) This paper introduces a new method for bluffline extraction based on analysis of surface normal vectors derived from a 2.5-dimensional Delaunay triangulation network generated using a set of LiDAR points. The developed method has been implemented and tested for the extraction of blufflines in a section of the Lake Erie coastline near Painesville, Ohio. Comparison of the research results with those generated by a method for bluffline extraction based on slope information along elevation profiles on transects shows an improvement in both horizontal and vertical accuracies in situations where the bluff has a relatively sharp edge formation. Numéro de notice : A2013-712 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/01490419.2013.813878 Date de publication en ligne : 03/11/2015 En ligne : https://doi.org/10.1080/01490419.2013.813878 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32848
in Marine geodesy > vol 36 n° 3 (September - November 2013) . - pp 285 - 302[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 230-2013031 RAB Revue Centre de documentation En réserve L003 Disponible Performance of dense digital surface models based on image matching in the estimation of plot-level forest variables / Kimmo Nurminen in ISPRS Journal of photogrammetry and remote sensing, vol 83 (September 2013)PermalinkA random set approach for modeling integrated uncertainties of traffic islands derived from airborne laser scanning points / Liang Zhou in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 9 (September 2013)PermalinkA synergistic approach for recovering occlusion-free textured 3D maps of urban facades from heterogeneous cartographic data / Karim Hammoudi in International journal of advanced robotic systems, vol 10 (2013)Permalink3-D voxel-based solid modeling of a broad-leaved tree for accurate volume estimation using portable scanning lidar / Fumiki Hosoi in ISPRS Journal of photogrammetry and remote sensing, vol 82 (August 2013)PermalinkAccurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z) / Dimitri Lague in ISPRS Journal of photogrammetry and remote sensing, vol 82 (August 2013)PermalinkAnalysis of full-waveform LiDAR data for classification of an orange orchard scene / Karolina D. Fieber in ISPRS Journal of photogrammetry and remote sensing, vol 82 (August 2013)PermalinkA methodology to characterize vertical accuracies in lidar-derived products at landscape scales / Wade T. Tinkham in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 8 (August 2013)PermalinkA multiresolution hierarchical classification algorithm for filtering airborne LiDAR data / Chuanfa Chen in ISPRS Journal of photogrammetry and remote sensing, vol 82 (August 2013)PermalinkRegistration of aerial imagery and lidar data in desert areas using the centroids of bushes as control information / Na Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 8 (August 2013)PermalinkRegistration of optical images with lidar data and its accuracy assessment / Shunyl Zheng in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 8 (August 2013)Permalink