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Tree topology representation from TLS point clouds using depth-first search in voxel space / A. Schilling in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 4 (April 2012)
[article]
Titre : Tree topology representation from TLS point clouds using depth-first search in voxel space Type de document : Article/Communication Auteurs : A. Schilling, Auteur ; A. Schmidt, Auteur ; Hans-Gerd Maas, Auteur Année de publication : 2012 Article en page(s) : pp 383 - 392 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre (mathématique)
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] relation topologique
[Termes IGN] semis de points
[Termes IGN] transformation de Hough
[Termes IGN] voxelRésumé : (Auteur) For a fundamental understanding of environmental processes and for the management of forests, information on the tree structure, preferably in 3D, is vital. Therefore, we propose a method to retrieve the spatial tree structure from 3D point clouds captured by a terrestrial laser scanner. The procedure addresses dense and noisy data sets of separate trees. Our method involves a variation of the Circular Hough Transform to determine trunk positions and a sequence of operations in voxel space. The core of the approach is the depth-first search algorithm, known from graph theory, to actually recover the tree as a graph. Furthermore, we compare results obtained from the tree graph to reference measurements of forest inventory parameters. The computation time of our method for topology representation is low and the method provides a reasonably accurate approximation of the 3D tree structure. Numéro de notice : A2012-181 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.4.383 En ligne : https://doi.org/10.14358/PERS.78.4.383 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31628
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 4 (April 2012) . - pp 383 - 392[article]Using multi-frequency radar and discrete-return LiDAR measurements to estimate above-ground biomass and biomass components in a coastal temperate forest / O. Tsui in ISPRS Journal of photogrammetry and remote sensing, vol 69 (April 2012)
[article]
Titre : Using multi-frequency radar and discrete-return LiDAR measurements to estimate above-ground biomass and biomass components in a coastal temperate forest Type de document : Article/Communication Auteurs : O. Tsui, Auteur ; Nicholas C. Coops, Auteur ; Michael A. Wulder, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 121 - 133 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] biomasse
[Termes IGN] Colombie-Britannique (Canada)
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt tempérée
[Termes IGN] image radar
[Termes IGN] Pinophyta
[Termes IGN] polarimétrie radarRésumé : (Auteur) Height measurements from small-footprint discrete-return LiDAR and backscatter coefficients from C- and L-band radar were used independently and in combination to estimate above-ground component and total biomass for a coniferous temperate forest, located on Vancouver Island, British Columbia, Canada. Reference biomass data were obtained from plot-level data and used for comparison against the LiDAR and radar-based biomass models. For the LiDAR-only model, height metrics such as mean first return height and percentiles (e.g., 10th and 90th) of first returns correlated best to total above-ground and stem biomass. While percent of first returns above 2 m and percentiles (75th and 90th) of first returns height metrics correlated best to crown biomass. A comparison between above-ground components and total biomass indicate that stem biomass displayed the highest relationship with the LiDAR measurements while crown biomass showed the lowest relationship with relative root mean squared error ranging from 16% to 22%, respectively. Alternatively, the radar-only models indicated that for C-band radar, a combination of HH and VV backscatter demonstrated the most significant correlation with forest biomass compared to coherence based models with a relative root mean squared error of 53%. For L-band radar, a combination of HH and HV backscatter showed the most significant correlation compared to coherence based models with a relative root mean squared error of 44%. Exploring a mixture of C- and L-band backscatter and coherence based models revealed that a combination of C-HV and L-HV coherence magnitudes provided the best radar relationship with forest biomass with a relative root mean squared error of 35%. Also for all radar-based models, L- and C-band backscatter and coherence magnitudes were poorly correlated with individual biomass components when compared to total above-ground biomass. The addition of C- and L-band backscatter and coherence variables to the LiDAR-only biomass model was also investigated. The results showed that the integration of C-band HH backscatter to the LiDAR-only model significantly improved the relationship with forest biomass by explaining an additional 8.9% and 6.5% of the variability in total aboveground and stem biomass respectively, while C-band polarimetric entropy explained an additional 17.9% of the variability in crown biomass. Improvements in the relative root mean squared errors were also observed ranging from 7.1% to 11.7%. The study suggests that for a temperate forest dominated by coniferous stands, the addition of C-band radar variables to a best LiDAR-only linear model provides improved estimates of above-ground component and total biomass. Numéro de notice : A2012-196 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.02.009 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.02.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31643
in ISPRS Journal of photogrammetry and remote sensing > vol 69 (April 2012) . - pp 121 - 133[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2012031 SL Revue Centre de documentation Revues en salle Disponible Digital measurements with 3D laser scanner: German scanning project / J. Rechenbach in Geoinformatics, vol 15 n° 2 (01/03/2012)
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Titre : Digital measurements with 3D laser scanner: German scanning project Type de document : Article/Communication Auteurs : J. Rechenbach, Auteur Année de publication : 2012 Article en page(s) : pp 30 - 31 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] bâtiment
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Lidar
[Termes IGN] télémétrie laser terrestreRésumé : (Editeur) If three-dimensional measurement of structures has been very complicated, expensive and error-prone up until now, then data collection with the latest generation of 3D laser scanners is now easy, accurate and rapid. Numéro de notice : A2012-055 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31503
in Geoinformatics > vol 15 n° 2 (01/03/2012) . - pp 30 - 31[article]Extraction of building roof contours from LiDAR data using a Markov-random-field-based approach / E. Dos Santos Galvanin in IEEE Transactions on geoscience and remote sensing, vol 50 n° 3 (March 2012)
[article]
Titre : Extraction of building roof contours from LiDAR data using a Markov-random-field-based approach Type de document : Article/Communication Auteurs : E. Dos Santos Galvanin, Auteur ; A. Dal Poz, Auteur Année de publication : 2012 Article en page(s) : pp 981 - 987 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] algorithme du recuit simulé
[Termes IGN] bati
[Termes IGN] champ aléatoire de Markov
[Termes IGN] détection de contours
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction automatique
[Termes IGN] toitRésumé : (Auteur) This paper proposes a method for the automatic extraction of building roof contours from a digital surface model (DSM) by regularizing light detection and ranging (LiDAR) data. The method uses two steps. First, to detect aboveground objects (buildings, trees, etc.), the DSM is segmented through a recursive splitting technique followed by a region-merging process. Vectorization and polygonization are used to obtain polyline representations of the detected aboveground objects. Second, building roof contours are identified from among the aboveground objects by optimizing a Markov-random-field-based energy function that embodies roof contour attributes and spatial constraints. The optimal configuration of building roof contours is found by minimizing the energy function using a simulated annealing algorithm. Experiments carried out with the LiDAR-based DSM show that the proposed method works properly, as it provides roof contour information with approximately 90% shape accuracy and no verified false positives. Numéro de notice : A2012-101 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2163823 Date de publication en ligne : 15/09/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2163823 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31549
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 3 (March 2012) . - pp 981 - 987[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2012031 RAB Revue Centre de documentation En réserve L003 Disponible Hyperspectral unmixing based on mixtures of Dirichlet components / J. Nascimento in IEEE Transactions on geoscience and remote sensing, vol 50 n° 3 (March 2012)
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Titre : Hyperspectral unmixing based on mixtures of Dirichlet components Type de document : Article/Communication Auteurs : J. Nascimento, Auteur ; José Bioucas-Dias, Auteur Année de publication : 2012 Article en page(s) : pp 863 - 878 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] classification non dirigée
[Termes IGN] données lidar
[Termes IGN] image hyperspectrale
[Termes IGN] problème de DirichletRésumé : (Auteur) This paper introduces a new unsupervised hyperspectral unmixing method conceived to linear but highly mixed hyperspectral data sets, in which the simplex of minimum volume, usually estimated by the purely geometrically based algorithms, is far way from the true simplex associated with the endmembers. The proposed method, an extension of our previous studies, resorts to the statistical framework. The abundance fraction prior is a mixture of Dirichlet densities, thus automatically enforcing the constraints on the abundance fractions imposed by the acquisition process, namely, nonnegativity and sum-to-one. A cyclic minimization algorithm is developed where the following are observed: 1) The number of Dirichlet modes is inferred based on the minimum description length principle; 2) a generalized expectation maximization algorithm is derived to infer the model parameters; and 3) a sequence of augmented Lagrangian-based optimizations is used to compute the signatures of the endmembers. Experiments on simulated and real data are presented to show the effectiveness of the proposed algorithm in unmixing problems beyond the reach of the geometrically based state-of-the-art competitors. Numéro de notice : A2012-100 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2163941 En ligne : https://doi.org/10.1109/TGRS.2011.2163941 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31548
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 3 (March 2012) . - pp 863 - 878[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2012031 RAB Revue Centre de documentation En réserve L003 Disponible Numérisation et modélisation de la Caune de l'Arago / Anonyme in Géomatique expert, n° 85 (01/03/2012)PermalinkRelevé lidar du cénote Pozzo del Morro / Valerio Baiocchi in Géomatique expert, n° 85 (01/03/2012)PermalinkAutomatic stem mapping using single-scan terrestrial laser scanning / X. Liang in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)PermalinkAbleitung von Bewegungsstrategien zur automatisierten, vollständigen Vermessung von Innerraumszenen auf autonom navigierender Plattform / Alexander Fietz (2012)PermalinkDe l'acquisition 3D à la réalité augmentée : le cas de l'église de la Chartreuse pontificale de Villeneuve-lès-Avignon (Gard) / Aurélie Favre-Brun in Revue Française de Photogrammétrie et de Télédétection, n° 196 (Janvier 2012)PermalinkAnalyse de données LiDAR aéroportées et apport des méthodes topographiques pour les expérimentations géophysiques de tomographie dans le cadre du projet TOMUVOL sur le site expérimental du dôme volcanique du Puy de Dôme / Camille Chanel (2012)PermalinkAnalyse qualitative et mise en oeuvre de solutions de cartographie mobiles BOAT-MAP pour le suivi de falaises inaccessibles / Simon Elling (2012)PermalinkAnalyse et traitement des données laser et images acquises sur le site de Saint-Siméon le stylite / Mariam Samaan (2012)PermalinkAttributierte Grammatiken zur Rekonstruktion und Interpretation von Fassaden / J. Schmidtwilken (2012)PermalinkL-band InSAR decorrelation analysis in volcanic terrains using airborne LiDAR data and in situ measurements: The case of the Piton de la Fournaise volcano, France / Melanie Sedze (2012)PermalinkCalibration of wet tropospheric delays in GPS observation using Raman lidar measurements / Pierre Bosser (2012)PermalinkPermalinkPermalinkChange detection of trees in urban areas using multi-temporal airborne lidar point clouds / Wen Xiao (2012)PermalinkLa charte d'éthique de la 3D, réflexions et mise en application : du lidar terrestre en milieu urbain à la charte d'éthique de la 3D / Hervé Halbout in Géomatique expert, n° 84 (01/01/2012)PermalinkLa citerne El-Nabih à Alexandrie : Un exemple d'utilisation de la photogrammétrie, de la lasergrammétrie et du modèle 3D sur un chantier de fouille archéologique / Laurent Borel in Revue Française de Photogrammétrie et de Télédétection, n° 196 (Janvier 2012)PermalinkComparing small-footprint lidar and forest inventory data for single strata biomass estimation : A case study over a multi-layered mediterranean forest / António Ferraz (2012)PermalinkCorrection du flou de mouvement sur les images prises de nuit par le STEREOPOLIS / Vincent Daval (2012)PermalinkGeo-referencing point clouds with transformational and positional uncertainties / Jens-André Paffenholz in Journal of applied geodesy, vol 6 n° 1 (January 2012)PermalinkModeling and Simulation in Engineering, ch. 1. Image-laser fusion for in situ 3D modeling of complex environments: A 4D panoramic-driven approach / Daniela Craciun (2012)Permalink