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Automated detection of branch dimensions in woody skeletons of fruit tree canopies / Alexander Bucksch in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 3 (March 2011)
[article]
Titre : Automated detection of branch dimensions in woody skeletons of fruit tree canopies Type de document : Article/Communication Auteurs : Alexander Bucksch, Auteur ; Stefan Fleck, Auteur Année de publication : 2011 Conférence : SilviLaser 2010, 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems 14/09/2010 17/09/2010 Fribourg Allemagne Article en page(s) : pp 229 - 240 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre (flore)
[Termes IGN] branche (arbre)
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] houppier
[Termes IGN] semis de points
[Termes IGN] SKELTRE algorithm
[Termes IGN] squelettisationRésumé : (auteur) Modeling the 3D canopy structure of trees provides the structural mapping capability on which to assign distributed values of light-driven physiological processes in tree canopies. We evaluate the potential of automatically extracted skeletons from terrestrial lidar data as a basis for modeling canopy structure. The automatic and species independent evaluation method for lidar data of trees is based on the SKELTRE algorithm. The SKELTRE skeleton is a graphical representation of the branch hierarchy. The extraction of the branch hierarchy utilizes a graph splitting procedure to extract the branches from the skeleton. Analyzing the distance between the point cloud points and the skeleton is the key to the branch diameter. Frequency distributions of branch length and diameter were chosen to test the algorithm performance in comparison to manually measured data and resulted in a correlation of up to 0.78 for the branch length and up to 0.99 for the branch diameter. Numéro de notice : A2011-157 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.77.3.229 En ligne : https://doi.org/10.14358/PERS.77.3.229 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81267
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 3 (March 2011) . - pp 229 - 240[article]Forum PPMD [2011] / Anonyme in Géomatique expert, n° 79 (01/03/2011)
[article]
Titre : Forum PPMD [2011] Type de document : Article/Communication Auteurs : Anonyme, Auteur Année de publication : 2011 Article en page(s) : pp 28 - 31 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] acquisition d'images
[Termes IGN] données lidar
[Termes IGN] drone
[Termes IGN] modélisation 3D
[Termes IGN] positionnement par GPS
[Termes IGN] précision centimétrique
[Termes IGN] récepteur GPS
[Termes IGN] semis de points
[Termes IGN] télémètre laser
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) Bref compte-rendu du forum annuel organisé par les élèves du master PPMD (photogrammétrie, positionnement et mesure des déformations) de l'ENSG. Thème de l'édition 2011 : "vers de nouvelles techniques d'acquisition". Numéro de notice : A2011-122 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30902
in Géomatique expert > n° 79 (01/03/2011) . - pp 28 - 31[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 265-2011021 RAB Revue Centre de documentation En réserve L003 Disponible IFN-001-P001267 PER Revue Nogent-sur-Vernisson Salle périodiques Exclu du prêt Full waveform-based analysis for forest type information derivation from large footprint spaceborne lidar data / Junjie Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 3 (March 2011)
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Titre : Full waveform-based analysis for forest type information derivation from large footprint spaceborne lidar data Type de document : Article/Communication Auteurs : Junjie Zhang, Auteur ; A. De Gier, Auteur ; Y. Xing, Auteur ; Gunho Sohn, Auteur Année de publication : 2011 Conférence : SilviLaser 2010, 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems 14/09/2010 17/09/2010 Fribourg Allemagne Article en page(s) : pp 281 - 290 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] canopée
[Termes IGN] capteur spatial
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] couvert forestier
[Termes IGN] décomposition de Gauss
[Termes IGN] données lidar
[Termes IGN] feuillu
[Termes IGN] lidar à retour d'onde complète
[Termes IGN] Pinophyta
[Termes IGN] signal laserRésumé : (Auteur) This study developed a new method to derive forest type information from large-footprint lidar data based on full waveform analysis. For this purpose, the raw waveform was decomposed into Gaussian components, and canopy return and ground return of the waveforms were separated. Two types of metrics hypothesized to have relationship with forest types were derived from the canopy return part of the waveform. The first type of metrics is quantile-based metrics reflecting the vertical distribution of canopy return energy, and the second type is statistical characteristics of the Gaussian components of canopy return part. Support Vector Machine classification was applied to different combinations of the metrics to find their relationship with different forest types. The results showed that the second type of metrics, indicating the canopy stratum characteristics, showed great promise in separating broad-leaved and needle-leaved forests with the accuracy ranging from 88.68 percent to 90.57 percent and Kappa statistic from 0.7406 to 0.7868. Numéro de notice : A2011-081 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.77.3.281 En ligne : https://doi.org/10.14358/PERS.77.3.281 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30862
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 3 (March 2011) . - pp 281 - 290[article]Incremental segmentation of lidar point clouds with an octree-structured voxel space / M. Wang in Photogrammetric record, vol 26 n° 133 (March - May 2011)
[article]
Titre : Incremental segmentation of lidar point clouds with an octree-structured voxel space Type de document : Article/Communication Auteurs : M. Wang, Auteur ; Yi-Hsing Tseng, Auteur Année de publication : 2011 Article en page(s) : pp 32 - 57 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] coplanarité
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] octree
[Termes IGN] reconstruction d'objet
[Termes IGN] segmentation
[Termes IGN] semis de points
[Termes IGN] voxelRésumé : (Auteur) Lidar (light detection and ranging) data implicitly contains abundant three-dimensional spatial information. The segmentation of lidar point clouds is the key procedure for transforming implicit spatial information into explicit spatial information. Common criteria used for point cloud segmentation are proximity and coherence of point distribution. An effective segmentation algorithm may apply various steps or combinations of criteria depending on the application. This paper proposes a four-step segmentation method for lidar point clouds to deliver incremental segmentation results. Segmentation results of each step can provide the fundamental data for the next step. In the first step, the input point cloud is organised into an octree-structured voxel space, in which the point neighbourhood is established. In the second step, connected voxels which are not empty are grouped to obtain grouped points based on proximity. The third step is a coplanar point segmentation based on both coherence and proximity, which was performed on each point group obtained in the second step. Finally, neighbouring coplanar point groups are merged into “co-surface” point groups based on the criteria of plane connection and intersection. This scheme enables an incremental retrieval and analysis of a large lidar data-set. Experimental results demonstrate the effectiveness of the segmentation algorithm in handling both airborne and terrestrial lidar data. It is anticipated that the incremental segmentation results will be useful for object modelling using lidar data. Numéro de notice : A2011-077 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2011.00624.x Date de publication en ligne : 16/03/2011 En ligne : https://doi.org/10.1111/j.1477-9730.2011.00624.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30858
in Photogrammetric record > vol 26 n° 133 (March - May 2011) . - pp 32 - 57[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2011011 RAB Revue Centre de documentation En réserve L003 Disponible Indirect georeferencing of digital SLR [single-lens reflex] imagery using signalised lidar control points / Edson Aparecido Mitishita in Photogrammetric record, vol 26 n° 133 (March - May 2011)
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Titre : Indirect georeferencing of digital SLR [single-lens reflex] imagery using signalised lidar control points Type de document : Article/Communication Auteurs : Edson Aparecido Mitishita, Auteur ; J. Cortes, Auteur ; J. Centeno, Auteur Année de publication : 2011 Article en page(s) : pp 58 - 72 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] analyse comparative
[Termes IGN] compensation par faisceaux
[Termes IGN] données lidar
[Termes IGN] géoréférencement indirect
[Termes IGN] image numérique
[Termes IGN] point d'appui
[Termes IGN] positionnement par GPSRésumé : (Auteur) Photogrammetric and lidar data-sets have been used together in mapping procedures because of their complementary characteristics. However, to perform this integration both data-sets must be within a common reference frame. Although all lidar systems include a direct georeferencing procedure, the majority of low-cost photogrammetric systems do not have a facility for direct georeferencing of images even if the data-sets are captured simultaneously. In recent years, the high accuracy of the lidar data has enabled it to provide a source of photogrammetric control and thus to offer indirect georeferencing. This paper presents a methodology for the indirect georeferencing of digital SLR images using signalised lidar control points, together with the results obtained. The intensity image and raw lidar data-set were used to extract 3D coordinates of signalised control points. Two bundle adjustments of 21 images were performed. In the first case the coordinates of the control points were obtained by using GPS survey. In the second, they were extracted from a lidar data-set. The results obtained from these experiments confirm the feasibility of the proposed methodology Numéro de notice : A2011-078 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2011.00621.x Date de publication en ligne : 16/03/2011 En ligne : https://doi.org/10.1111/j.1477-9730.2011.00621.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30859
in Photogrammetric record > vol 26 n° 133 (March - May 2011) . - pp 58 - 72[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2011011 RAB Revue Centre de documentation En réserve L003 Disponible vol 77 n° 3 - March 2011 - Silvilaser, Lidar remote sensing for characterizing forest vegetation (Bulletin de Photogrammetric Engineering & Remote Sensing, PERS) / American society for photogrammetry and remote sensingPermalinkTiltan's automated geo-mapping (AGM) system: A highly integrated airborne image data acquisition & processing system / Gordon Petrie in Geoinformatics, vol 14 n° 2 (01/03/2011)Permalink3D building model reconstruction from multi-view aerial imagery and Lidar data / Liang Cheng in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 2 (February 2011)PermalinkSwedish Lidar Project: New Nationwide Elevation Model / Y. Petersen in GIM international, vol 25 n° 2 (February 2011)PermalinkPermalinkConditional random fields for urban scene : Classification with full waveform LiDAR Data / Joachim Niemeyer (2011)PermalinkContributions to the 3D city modeling. 3D polyhedral building model reconstruction from aerial images & 3D facade modeling from terrestrial 3D point cloud and images / Karim Hammoudi (2011)PermalinkDelineation of impervious surface from multispectral imagery and lidar incorporating knowledge based expert system rules / K. Germaine in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 1 (January 2011)PermalinkGenerating virtual 3D model of urban street facades by fusing terrestrial multi-source data / Karim Hammoudi (2011)PermalinkGrotte de Marsoulas : la renaissance en 3D / M. Mayo in Géomètre, n° 2077 (janvier 2011)Permalink