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ISPRS Workshop Laserscanning'09, Paris, France, September 1-2, 2009 / Frédéric Bretar (2009)

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Titre :	ISPRS Workshop Laserscanning'09, Paris, France, September 1-2, 2009 : Papers accepted on the basis of peer-reviewed full manuscripts
Type de document :	Actes de congrès
Auteurs :	Frédéric Bretar, Éditeur scientifique ; M. George Vosselman, Éditeur scientifique ; Marc Pierrot-Deseilligny , Éditeur scientifique
Editeur :	International Society for Photogrammetry and Remote Sensing ISPRS
Année de publication :	2009
Collection :	International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3/W8
Conférence :	ISPRS 2009, Workshop LaserScanning 01/09/2009 02/09/2009 Paris France OA Archives proceedings
Importance :	343 p.
Format :	21 x 30 cm
Note générale :	Bibliographie
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Lasergrammétrie [Termes IGN] classification dirigée [Termes IGN] détection d'objet [Termes IGN] instrumentation Riegl [Termes IGN] lasergrammétrie [Termes IGN] reconstruction 3D du bâti [Termes IGN] semis de points [Termes IGN] système d'information géographique [Termes IGN] télémétrie laser aéroporté [Termes IGN] traitement d'image
Note de contenu :	Preface Workshops committees - Object detection in airborne lidar data for improved solar radiation modeling in urban areas / Andreas Jochem, Bernhard Hofle, Markus Hollaus, Martin Rutzinger - Automatic Extraction of Vertical Walls from Mobile and Airborne Laser Scanning Data / Martin Rutzinger, Sander Oude Elberink, Shi Pu, George Vosselman - New Integration Approach of Photogrammetric and Lidar Techniques for Architectural Surveys / Francesco Nex, Fulvio Rinaudo - Verification of a building damage analysis and extension to surroundings of reference buildings / Miriam Hommel - Adaptation of Roads to ALS Data by Means of Networks Snakes / Jens Goepfert, Franz Rottensteiner - Lidar Filtering Algorithm for Urban Flood Application / Ahmad Fikri Abdullah, Alias Abdul Rahman, Zoran Vojinovic - Denoising Point Cloud Data of Small-Structured Free Form-Surfaces Captured by a Phase-Based Laserscanner / Eva Richter - High Resolution Data from Laser Scanning and Digital Photogrammetry Terrestrial Methodologies. Test Site: An Architectural Surface / Massimo Fabris, Vladimiro Achilli, Giuseppe Artese, Ginevra Boatto, Denis Bragagnolo, Gianmaria Concheri, Roberta Meneghello, Andrea Menin, Aldo Trecroci - Target Graph Matching for Building Reconstruction / Sander Oude Elberink - Orientation and Processing of Airborne Laser Scanning data (OPALS) concept and first results of a comprehensive ALS software / Gottfried Mandlburger, Johannes Otepka, Wilfried Karel, Wolfgang Wagner, Norbert Pfeifer - An improved approach for automatic detection of changes in buildings / Leena Matikainen, Juha Hyyppd, Eero Ahokas, Lauri Markelin, Harri Kaartinen - Effects on the measurements of the terrestrial laser scanner HDS 6000 (Leica) caused by different object materials / Thomas Voegtle, Sascha Wakaluk - Terrestrial Laser Scanning Combined with Photogrammetry for Digital Outcrop Modeling / Simon Buckley, Ernesto Schwarz, Viktor Terlaky, John Howell, Bill Arnott - Automatic Road Extraction from Lidar Data Based on Classifier Fusion in Urban Area / Farhad Samadzadegan, Behnaz Bigdeli, Michael Hahn - Generation of Spatial Information System for Architecture with Laserscanning Data / Luigi Fregonese, Marco Scaioni, Laura Taffurelli - Methods for the automatic geometric registration of terrestrial laser scanner point clouds in forest stands / Anne Bienert, Hans-Gerd Maas - Application of TLS for Change Detection in Rock Faces / Mario Alba, Fabio Roncoroni, Marco Scaioni - Automatic 3D Powerline Reconstruction Using Airborne LIDAR Data / Yoonseok Jwa, Gunho Sohn, Heungsik Brian Kim - Detection of curbstones in airborne laser scanning data / George Vosselman, Liang Zhou - Automatically reconstructed roof shapes for LiDAR strip adjustment and quality control / Matthias Rentsch, Peter Krzystek . - Tree Crown Delineation from High Resolution Airborne Lidar Based on Densities of High Points / Muhammad Zulkamain Abd Rahman, Ben Gorte - Curvature Analysis of Lidar Data for Single Tree Species Classification in alpine Latitude Forests / Andrea Barilotti, Fabio Crosilla, Francesco Sepic - Combination of Low Pulse ALS Data and TERRASAR-X Radar images in the Estimation of Plot-Level Forest Variables / Markus Holopainen, Reija Haapanen, Mika Karjalainen, Mikko Vastaranta, Juha Hyyppd, Xiaowei Yu, Sakan Tuominen, Hannu Hyyppd - A role for Airborne Laser Scanning Intensity Data in Vertical Stratification of Multilayered Ecosystems / Felix Morsdorf, Anders Marell, Eric Rigolot, Britta Allgower - Comparison of ALS-Based Low-Pulse Density Forest Inventories / Mikko Vastaranta, Markus Holopainen, Reija Haapanen, Xiaowei Yu, Timo Melkas, Juha Hyyppd, Hannu Hyyppd - Estimating Vertical Leaf Area Density Profiles of Tree Canopies Using Three-Dimensional Portable Lidai Imaging / Fumiki Hosoi, Kenji Omasa - A Deciduous-Coniferous Classification and Internal Structure Derivation Using Airborne Lidar Data / Connie Ko, Gunho Sohn, Tarmo Remmel - Referencing of images to laser scanner data using linear features extracted from digital images and rangi images / Nadine Meierhold, Armin Schmich - The Impact of Angle Parametrisation on Terrestrial Laser Scanner Self-Calibration / Derek Lichti - Calibration of a Riegl LMS-Z420! based on a multi-station adjustment and a geometric model with additional parameters / Danilo Schneider - Incidence angle influence on the quality of Terrestrial Laser Scanning points / Sylvie Soudarissanane, Roderik Lindenbergh, Massimo Menenti, Peter Teunissen - Automatic 3D Points Cloud Registration for Cultural Heritage Documentation / Eleftherios Tournas, Maria Tsakiri - Investigating adjustment of Airborne Laser Scanning strips without usage of GNSS/IMU trajectory data / Camilla Ressl, Gottfried Mandlburger, Norbert Pfeifer - A stochastic approach for modelling airborne lidar waveforms / Clement Mallet, Florent Lafarge, Frederic Bretar, Michel Roux, Uwe Soergel, Christian Heipke - Airborne Lidar feature Selection for urban classification using random forests / Nesrine Chehata, Li Guo, Clement Mallet - Normalization of Lidar Intensity Data Based on Range and Surface Incidence Angle / Boris Jutzi, Hermann Gross - Topographic and Distance Effects in Laser Scanner Intensity Correction / Sanna Kaasalainen, Ants Vain, Anssi Krooks, Antero Kukko - Integration of full-waveform information into the airborne laser scanning data filtering process / Yu-Ching Lin, Jon Mills - Semantic feature based registration of terrestrial point clouds / Anisha Thapa, Shi Pu, Markus Gerke - Automatic Break Line Determination for the Generation of a DTM Along the River Main / Christian Briese, Gottfried Mandlburger, Camilla Ressl, Herbert Brockmann - Pathway detection and geometrical description from ALS data in forested mountaneous area / Nicolas David, Clement Mallet, Thomas Pans, Adrien Chauve, Frederic Bretar - Color-Based Segmentation of Point Clouds / Qingming Zhan, Yubin Liang, Yinghui Xiao - Robust Pose Estimation of Moving Objects Using Laser Camera Data for Autonomous Rendezvous and Docking / Farhad Aghili, Marcin Kuryllo, Galina Okouneva, Don McTavish - A Feature Based Approach to Automatic Change Detection from Lidar Data in Urban Areas / Kyoungah Choi, Impyeong Lee, Seongjoon Kim - Investigations on Ambiguity Unwrapping of Range Images / Boris Jutzi - Terrestrial Laser Scanner Point Cloud Denoising for Small Size Objects / Eddie Smigiel, Emmanuel Alby, Pierre Grussenmeyer - Variants to compute variance information for mass data / Harald Vennegeerts, Hansjorg Kutterer - A New Method for Individual Tree Delineation and Undergrowth Removal from High Resolution Airborne Lidar / Muhammad Zulkarnain Abd Rahman, Ben Gorte, Alexander Bucksch - Estimating Carbon Stocks of Coniferous Woody Canopy Trees Using Airborne Lidar and Passive Optical Sensor / Yohei Nakai, Fumiki Hosoi, Kenji Omasa - Filtering of TLS Point Clouds for the Generation of DTM in Salt-Marsh Areas / Alberto Guarnieri, Francesco Pirotti, Antonio Vettore, Marco Marani - Operational Mapping of the Environmental Condition of Riparian Zones over Large Regions from LiDAR Data / Kasper Johansen, Lara Arroyo, Stuart Phinn - Ortho-Rectified Facade Image by Fusion of 3D Laser Data and Optical Images / Ayman Zureiki, Michel Roux - Usability of Sunlit - Shaded Area Separation in Individual Tree Species Classification / Eetu Puttonen, Paula Litkey, Juha Hyyppa - Aerial Images and Lidar Data Fusion for Automatic Feature Extraction using the Self-Organizing Map (SOM) Classifier / Mahmoud Salah, John Trinder, Ahmed Shaker, Mahmoud Named, All Elsagheer - Decision Trees on Lidar to Classify Land Uses and Covers / Jorge Garcia-Gutierrez, Luis Gonyalves-Seco, Jose C. Riquelme-Santos - Filtering of Artifacts and Pavement Segmentation from Mobile LiDAR Data / Jorge Hernandez, Beatriz Marcotegui - Clustering of Lidar Data Using Particle Swarm Optimization Algorithm in Urban area / Farhad Samadzadegan, Sara Saeedi
Numéro de notice :	15497
Affiliation des auteurs :	MATIS+Ext (1993-2011)
Thématique :	IMAGERIE
Nature :	Actes
nature-HAL :	DirectOuvrColl/Actes
DOI :	sans
En ligne :	http://www.isprs.org/proceedings/XXXVIII/3-W8/
Format de la ressource électronique :	URL
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=34769

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New integration approach of photogrammetric and LIDAR techniques for architectural survey / Francesco Nex (2009)

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contenu dans ISPRS Workshop Laserscanning'09, Paris, France, September 1-2, 2009 / Frédéric Bretar (2009)

Titre :	New integration approach of photogrammetric and LIDAR techniques for architectural survey
Type de document :	Article/Communication
Auteurs :	Francesco Nex, Auteur ; Fulvio Rinaudo, Auteur
Editeur :	International Society for Photogrammetry and Remote Sensing ISPRS
Année de publication :	2009
Collection :	International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3/W8
Conférence :	ISPRS 2009, Workshop LaserScanning 01/09/2009 02/09/2009 Paris France OA Archives proceedings
Importance :	pp 12 - 17
Note générale :	Bibliographie
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Applications photogrammétriques [Termes IGN] analyse combinatoire (maths) [Termes IGN] données lidar [Termes IGN] fusion d'images [Termes IGN] intégration de données [Termes IGN] photogrammétrie architecturale [Termes IGN] semis de points [Termes IGN] surveillance d'ouvrage
Résumé :	(Auteur) In the last few years, LIDAR and image-matching techniques have been employed in many application fields because of their quickness in point cloud generation. Nevertheless, these techniques do not assure complete and reliable results, especially in complex applications such as architectural surveys: laser scanning techniques do not allow the correct position of object breaklines to be extracted while image matching results require an accurate editing and they are not acceptable for bad-textured images. For this reason several authors have already suggested overcoming of these problems through a combination of LIDAR and photogrammetric techniques. These works considers the integration as the possibility to share point clouds generated by these techniques; however, a complete and automatic integration, in order to achieve more complete information, has never been implemented. In this paper, a new integration approach is proposed. This integration is focused on the possibility of overcoming the problems of each technique. In this approach LIDAR and multi-image matching techniques combine and share information in order to extract building breaklines in the space, perform the point cloud segmentation and speed up the modelling process in an automatic way. This integration is still an ongoing process: the algorithm workflow and first performed tests on real facades are presented in this paper, in order to evaluate the reliability of the proposed method; finally, an overview on the future developments is offered.
Numéro de notice :	C2009-002
Affiliation des auteurs :	non IGN
Thématique :	IMAGERIE
Nature :	Communication
DOI :	sans
En ligne :	https://www.isprs.org/proceedings/XXXVIII/3-W8/papers/12_laserscanning09.pdf
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=65042

Generation of a spatial information system for architecture with laserscanning data / Luigi Fregonese (2009)

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contenu dans ISPRS Workshop Laserscanning'09, Paris, France, September 1-2, 2009 / Frédéric Bretar (2009)

Titre :	Generation of a spatial information system for architecture with laserscanning data
Type de document :	Article/Communication
Auteurs :	Luigi Fregonese, Auteur ; Marco Scaioni, Auteur ; Laura Taffurelli, Auteur
Editeur :	International Society for Photogrammetry and Remote Sensing ISPRS
Année de publication :	2009
Collection :	International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3/W8
Conférence :	ISPRS 2009, Workshop LaserScanning 01/09/2009 02/09/2009 Paris France OA Archives proceedings
Importance :	pp 87 - 92
Note générale :	Bibliographie
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Applications photogrammétriques [Termes IGN] architecture [Termes IGN] base de données localisées 3D [Termes IGN] modélisation 3D [Termes IGN] patrimoine culturel [Termes IGN] surveillance d'ouvrage [Termes IGN] Venise
Résumé :	(Auteur) In architectural and cultural heritage documentation, laser scanning technology today offers several opportunities to approach the object to study and to extract manifold information levels from it. These account for point-clouds, 3-D models, and other data about the state of conservation. Georeferenced point-clouds can be adopted as the spatial framework of a Space Information System for Architecture, integrating all spatial information acquired by TLS, photogrammetry, geodetic surveying and direct survey, but also from other investigation techniques (e.g. GPR, thermal cameras, etc.). Such information system allows to make assessments that are important for the classification of structural elements or for the determination of the state of decay or preservation of each architectural element. With reference to the survey of two wooden domes of San Marco Basilica in Venice (Italy), the completion of the 3-D model of their complex structure is presented here through the description of its main stages, i.e. data acquisition, registration and modelling. The final 3-D model is then assumed as a 3-D database which clarifies the shape, the composition, the state of conservation and the structural function of the wooden beams of the domes.
Numéro de notice :	C2009-003
Affiliation des auteurs :	non IGN
Thématique :	IMAGERIE
Nature :	Communication
DOI :	sans
En ligne :	https://www.isprs.org/proceedings/XXXVIII/3-W8/papers/87_laserscanning09.pdf
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=65043

A stochastic approach for modelling airborne lidar waveforms / Clément Mallet (2009)

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contenu dans ISPRS Workshop Laserscanning'09, Paris, France, September 1-2, 2009 / Frédéric Bretar (2009)

Titre :	A stochastic approach for modelling airborne lidar waveforms
Type de document :	Article/Communication
Auteurs :	Clément Mallet , Auteur ; Florent Lafarge, Auteur ; Michel Roux, Auteur ; Uwe Soergel, Auteur ; et al., Auteur
Editeur :	International Society for Photogrammetry and Remote Sensing ISPRS
Année de publication :	2009
Collection :	International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3/W8
Conférence :	ISPRS 2009, Workshop LaserScanning 01/09/2009 02/09/2009 Paris France OA Archives proceedings
Importance :	pp 201 - 206
Note générale :	Bibliographie
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Traitement du signal [Termes IGN] chaîne de Markov [Termes IGN] données lidar [Termes IGN] forme d'onde pleine [Termes IGN] méthode de Monte-Carlo [Termes IGN] milieu urbain [Termes IGN] modèle stochastique [Termes IGN] reconstruction du signal [Termes IGN] signal laser [Termes IGN] signal lidar
Résumé :	(Auteur) In contrast to conventional airborne multi-echo laser scanner systems, full-waveform (FW) lidar systems are able to record the entire emitted and backscattered signals of each laser pulse. Instead of clouds of individual 3D points, FW devices provide ID profiles of the 3D scene, which allows gaining additional and more detailed observations of the illuminated surfaces. Indeed, lidar waveforms are signals consisting of a train of echoes where each of them corresponds to a scattering target of the Earth surface or a group of close objects leading to superimposed signals. Modelling these echoes with the appropriate parametric function is necessary to retrieve physical information about these objects and characterize their properties. Henceforth, the extracted parameters can be useful for subsequent object segmentation and/or classification. This paper presents a stochastic based model to reconstruct lidar waveforms in terms of a set of parametric functions. The model takes into account both a data term which measures the coherence between the proposed configurations and the waveforms, and a regularizing term which introduces physical knowledge on the reconstructed signal. We search for the best configuration of functions by performing a Reversible Jump Markov Chain Monte Carlo sampler coupled with a stochastic relaxation. Finally, the algorithm is validated on waveforms from several airborne lidar sensors, showing the suitability of the approach even when the traditional assumption of Gaussian decomposition of waveforms is invalid.
Numéro de notice :	C2009-004
Affiliation des auteurs :	MATIS+Ext (1993-2011)
Thématique :	IMAGERIE/POSITIONNEMENT
Nature :	Communication
nature-HAL :	ComAvecCL&ActesPubliésIntl
DOI :	sans
En ligne :	https://www.isprs.org/proceedings/XXXVIII/3-W8/papers/201_laserscanning09.pdf
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=65044

Airborne lidar feature selection for urban classification using random forests / Nesrine Chehata (2009)

Pathway detection and geometrical description from ALS data in forested mountaneous area / Nicolas David (2009)

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contenu dans ISPRS Workshop Laserscanning'09, Paris, France, September 1-2, 2009 / Frédéric Bretar (2009)

Titre :	Pathway detection and geometrical description from ALS data in forested mountaneous area
Type de document :	Article/Communication
Auteurs :	Nicolas David , Auteur ; Thomas Pons, Auteur ; Adrien Chauve , Auteur ; Frédéric Bretar, Auteur ; Clément Mallet , Auteur
Editeur :	International Society for Photogrammetry and Remote Sensing ISPRS
Année de publication :	2009
Collection :	International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3/W8
Conférence :	ISPRS 2009, Workshop LaserScanning 01/09/2009 02/09/2009 Paris France OA Archives proceedings
Importance :	pp 242 - 247
Note générale :	Bibliographie
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] extraction automatique [Termes IGN] forêt [Termes IGN] montagne [Termes IGN] orthoimage [Termes IGN] semis de points [Termes IGN] télémétrie laser aéroporté
Résumé :	(Auteur) In the last decade, airborne laser scanning (ALS) systems have become an alternative source for the acquisition of altimeter data. Compared to high resolution orthoimages, one of the main advantages of ALS is the ability of the laser beam to penetrate vegetation and reach the ground underneath. Therefore, 3D point clouds are essential data for computing Digital Terrain Models (DTM) in natural and vegetated areas. DTMs are a key product for many applications such as tree detection, flood modelling, archeology or road detection. Indeed, in forested areas, traditional image-based algorithms for road and pathway detection would partially fail due to their occlusion by the canopy cover. Thus, crucial information for forest management and fire prevention such as road width and slope would be misevaluated. This paper deals with road and pathway detection in a complex forested mountaneous area and with their geometrical parameter extraction using lidar data. Firstly, a three-step image-based methodology is proposed to detect road regions. Lidar feature orthoimages are first generated. Then, road seeds are both automatically and semi-automatically detected. And, a region growing algorithm is carried out to retrieve the full pathways from the seeds previously detected. Secondly, these pathways are vectorized using morphological tools, smoothed, and discretized. Finally, ID sections within the lidar point cloud are successively generated for each point of the pathways to estimate more accurately road widths in 3D. We also retrieve a precise location of the pathway borders and centers, exported as vector data.
Numéro de notice :	C2009-006
Affiliation des auteurs :	MATIS+Ext (1993-2011)
Thématique :	FORET/IMAGERIE
Nature :	Communication
nature-HAL :	ComAvecCL&ActesPubliésIntl
DOI :	sans
En ligne :	https://www.isprs.org/proceedings/XXXVIII/3-W8/papers/242_laserscanning09.pdf
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=65046

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
15497-01	CG2009	Livre	Centre de documentation	Congrès	Disponible
15497-02	CG2009	Livre	Centre de documentation	Congrès	Disponible

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