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The Forward Propagation of Integrated System Component Errors within Airborne Lidar Data / T. Goulden in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 5 (May 2010)
[article]
Titre : The Forward Propagation of Integrated System Component Errors within Airborne Lidar Data Type de document : Article/Communication Auteurs : T. Goulden, Auteur ; Christopher Hopkinson, Auteur Année de publication : 2010 Article en page(s) : pp 589 - 601 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] erreur en position
[Termes IGN] géoréférencement direct
[Termes IGN] GPS-INS
[Termes IGN] propagation d'erreur
[Termes IGN] varianceRésumé : (Auteur) Error estimates of lidar observations are obtained by applying the General Law of Propagation of Variances (GLOPOV) to the direct georeferencing equation. Within the formulation of variance propagation, the most important consideration is the values used to describe the error of the hardware component observations including the global positioning system, inertial measurement unit, laser ranger, and laser scanner (angular encoder noise and beam divergence). Data tested yielded in general, pessimistic predictions as 85 percent of residuals were within the predicted error level. Simulated errors for varying scan angles and altitudes produced horizontal errors largely influenced by IMU subsystem error as well as angular encoder noise and beam divergence. GPS subsystem errors contribute the largest proportion of vertical error only at shallow scan angles and low altitudes. The transformation of the domination of GPS related error sources to total vertical error occurs at scan angles of 23°, 13°, and 8° at flying heights of 1,200 m, 2,000 m, and 3,000 m AGL, respectively. Copyright ASPRS Numéro de notice : A2010-162 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.5.589 En ligne : https://doi.org/10.14358/PERS.76.5.589 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30357
in Photogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 5 (May 2010) . - pp 589 - 601[article]Utilisation conjointe de trains d'onde Lidar vert et infrarouge pour la bathymétrie des eaux de très faibles profondeurs / Tristan Allouis in Revue Française de Photogrammétrie et de Télédétection, n° 191 (Mai 2010)
[article]
Titre : Utilisation conjointe de trains d'onde Lidar vert et infrarouge pour la bathymétrie des eaux de très faibles profondeurs Type de document : Article/Communication Auteurs : Tristan Allouis, Auteur ; Jean-Stéphane Bailly, Auteur ; Yves Pastol, Auteur ; Catherine Le Roux, Auteur Année de publication : 2010 Conférence : SFPT 2009, Colloque Lidar 20/01/2009 21/01/2009 Le Mans France Article en page(s) : pp 52 - 61 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] bathymétrie laser
[Termes IGN] eaux côtières
[Termes IGN] lasergrammétrie
[Termes IGN] lidar bathymétrique
[Termes IGN] Morbihan (golfe du)
[Termes IGN] onde lidar
[Termes IGN] rivièreRésumé : (Auteur) La bathymétrie et la topographie des surfaces immergées sont des connaissances essentielles pour la gestion durable des rivières et des espaces littoraux. Parmi les techniques permettant de les obtenir, le LiDAR bathymétrique apparaît prometteur par sa capacité à relever de grandes surfaces en un temps limité, avec une forte résolution spatiale et de manière continue entre zones émergées et immergées. Bien que certaines études aient porté sur la précision de cette technique dans les zones côtières de profondeur modérée, peu se sont intéressées aux eaux très peu profondes ( Numéro de notice : A2010-211 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30405
in Revue Française de Photogrammétrie et de Télédétection > n° 191 (Mai 2010) . - pp 52 - 61[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 018-2010011 RAB Revue Centre de documentation En réserve L003 Disponible Automatic segmentation of Lidar data into coplanar point clusters using an octree-based split-and-merge algorithm / M. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 4 (April 2010)
[article]
Titre : Automatic segmentation of Lidar data into coplanar point clusters using an octree-based split-and-merge algorithm Type de document : Article/Communication Auteurs : M. Wang, Auteur ; Yi-Hsing Tseng, Auteur Année de publication : 2010 Article en page(s) : pp 407 - 420 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] fusion d'images
[Termes IGN] modélisation 3D
[Termes IGN] octree
[Termes IGN] segmentation
[Termes IGN] segmentation en plan
[Termes IGN] semis de pointsRésumé : (Auteur) Lidar (light detection and ranging) point cloud data contain abundant three-dimensional (3D) information. Dense distribution of scanned points on object surfaces prominently implies surface features. Particularly, plane features commonly appear in a typical lidar dataset of artificial structures. To explore implicitly contained spatial information, this study developed an automatic scheme to segment a lidar point cloud dataset into coplanar point clusters. The central mechanism of the proposed method is a split-and-merge segmentation based on an octree structure. Plane fitting serves as an engine in the mechanism that evaluates how well a group of points fits to a plane. Segmented coplanar points and derived parameters of their best-fit plane are obtained through the process. This paper also provides algorithms to derive various geometric properties of segmented coplanar points, including inherent properties of a plane, intersections of planes, and properties of point distribution on a plane. Several successful cases of handling airborne and terrestrial lidar data as well as a combination of the two are demonstrated. This method should improve the efficiency of object modelling using lidar data. Copyright ASPRS Numéro de notice : A2010-121 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.4.407 En ligne : https://doi.org/10.14358/PERS.76.4.407 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30317
in Photogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 4 (April 2010) . - pp 407 - 420[article]The value of Lidar: in levee recertification and flood management / K. Legleiter in Geoinformatics, vol 13 n° 3 (01/04/2010)
[article]
Titre : The value of Lidar: in levee recertification and flood management Type de document : Article/Communication Auteurs : K. Legleiter, Auteur Année de publication : 2010 Article en page(s) : pp 24 - 27 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] cartographie des risques
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] eau pluviale
[Termes IGN] inondation
[Termes IGN] Kansas (Etats-Unis ; état)
[Termes IGN] modèle numérique de terrainRésumé : (Auteur) LiDAR (Light Detection And Ranging) has become a widely accepted tool to generate accurate Digital Terrain Models (DTMs) used in a variety of water resource applications. This article discusses methods used to create accurate DTMs for several different dense LiDAR point spacings that can be found in challenging land geomorphology types and includes a case study to demonstrate how LiDAR is being used by water resource and GIS personnel to manage storm water, flood mapping, levee recertification, and emergency response applications. Copyright GEOinformatics Numéro de notice : A2010-136 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30331
in Geoinformatics > vol 13 n° 3 (01/04/2010) . - pp 24 - 27[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 262-2010031 SL Revue Centre de documentation Revues en salle Disponible An application-oriented automated approach for co-registration of forest inventory and airborne laser scanning data / W. Dorigo in International Journal of Remote Sensing IJRS, vol 31 n° 5 (March 2010)
[article]
Titre : An application-oriented automated approach for co-registration of forest inventory and airborne laser scanning data Type de document : Article/Communication Auteurs : W. Dorigo, Auteur ; Markus Hollaus, Auteur ; W. Wagner, Auteur ; Klemens Schadauer, Auteur Année de publication : 2010 Conférence : Silvilaser 2008, 8th international conference on Lidar applications in forest assessment and inventory 17/09/2008 19/09/2008 Edimbourg Royaume-Uni Proceedings Taylor&Francis Article en page(s) : pp 1133 - 1153 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] Autriche
[Termes IGN] canopée
[Termes IGN] données laser
[Termes IGN] données localisées 3D
[Termes IGN] feuillu
[Termes IGN] hauteur des arbres
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] lasergrammétrie
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) Airborne laser scanning (ALS) data can be used for downscaling point-based forest inventory (FI) measurements to obtain spatially distributed estimates of forest parameters at a more detailed, local scale. Such downscaling algorithms usually consist of a direct coupling between selected FI parameters and ALS data collected at the field sampling locations. Thus, precise co-registration between FI and ALS data is an essential preprocessing step to obtain accurate predictive relationships. This paper presents a new, automated co-registration approach that searches iteratively for the best match between an ALS-based canopy height model and the tree positions and heights measured during the FI. While the basic principle of the algorithm applies to various types of FI sampling configurations, the co-registration approach was developed specifically to take into account the tree selection criterion posed by angle count sampling. The angle count sampling method only includes trees that at a given distance from the sample plot centre have a minimum required diameter at breast height (DBH). This tree selection criterion leads to maximum plot radii and number of inventoried trees that strongly vary from sample plot to sample plot. In the automated co-registration procedure, several criteria (e.g. the occurrence of more than one spatial cluster of minimum residuals and a predominance of deciduous trees in a sample plot) were used to detect possible uncertain solutions and to reduce post-processing efforts by an image operator. Model calibration and validation were based on national forest inventory (NFI) and ALS data from the Austrian federal state of Vorarlberg. Transferability and robustness of the approach was verified using an independent local FI. The results show that 68% of the NFI sample plots and 74% of the local FI plots could be automatically co-registered to a location at a distance of less than 5.0 m from the reference location. The maximum difference of 5.0 m used for marking a solution as correct was based on the relatively small influence that deviations of up to this value have on ALS-based predictions of biophysical forest variables at a stand level. The quality flagging criteria adopted were very successful in identifying uncertain solutions; only one out of 153 co-registered sample plots with a deviation from the reference data set greater than 5.0 m was not identified as uncertain. Applying the automatically co-registered sample plots in calibration of a growing stock model provided estimates that were clearly superior to those obtained with the original plot positions and even slightly outperformed those based on manual co-registration. As the algorithm developed will be part of an operational processing chain for Austrian NFI data, it has a high practical relevance. Copyright Taylor & Francis Numéro de notice : A2010-250 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160903380581 En ligne : https://doi.org/10.1080/01431160903380581 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30444
in International Journal of Remote Sensing IJRS > vol 31 n° 5 (March 2010) . - pp 1133 - 1153[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-2010031 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Estimating crown base height for Scots pine by means of the 3D geometry of airborne laser scanning data / Jari Vauhkonen in International Journal of Remote Sensing IJRS, vol 31 n° 5 (March 2010)PermalinkLidar mapping of canopy gaps in continuous cover forests : a comparison of canopy height model and point cloud based techniques / Rachel Gaulton in International Journal of Remote Sensing IJRS, vol 31 n° 5 (March 2010)PermalinkUncertainty within satellite LiDAR estimations of vegetation and topography / J. Rosette in International Journal of Remote Sensing IJRS, vol 31 n° 5 (March 2010)PermalinkAn improved segmentation approach for planar surfaces from undestructured 3D point clouds / T.M. Awwad in Photogrammetric record, vol 25 n° 129 (March - May 2010)PermalinkContribution d'un système Lidar pour la reconstruction de la trame urbaine d'un village médiéval abandonné / Nicola Masini in Photo interprétation, European journal of applied remote sensing, vol 46 n° 1 (mars 2010)PermalinkReal-time registration of airborne laser with sub-decimeter accuracy / Jan Skaloud in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 2 (March - April 2010)PermalinkSegmentation and reconstruction of polyhedral building roofs from aerial lidar points clouds / A. Sampath in IEEE Transactions on geoscience and remote sensing, vol 48 n° 3 Tome 2 (March 2010)PermalinkTerrain modeling from Lidar range data in natural landscapes: a predictive and Bayesian framework / Frédéric Bretar in IEEE Transactions on geoscience and remote sensing, vol 48 n° 3 Tome 2 (March 2010)PermalinkUsing simulated Terrestrial Laser Scanning to analyse errors in high-resolution scan data of irregular surfaces / R. Hodge in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 2 (March - April 2010)PermalinkYOBILIDAR: 3D Spatial indexing for Lidar DATA / D. Laefer in GIM international, vol 24 n° 2 (February 2010)Permalink