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Automatic roof model reconstruction from ALS data and 2D ground plans based on side projection and the TMR [TIN-Merging and Reshaping] algorithm / J. Rau in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
[article]
Titre : Automatic roof model reconstruction from ALS data and 2D ground plans based on side projection and the TMR [TIN-Merging and Reshaping] algorithm Type de document : Article/Communication Auteurs : J. Rau, Auteur ; B. Lin, Auteur Année de publication : 2011 Article en page(s) : pp 13 - 27 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] fusion de données
[Termes IGN] lasergrammétrie
[Termes IGN] modélisation 3D
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] semis de points
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] toit
[Termes IGN] Triangulated Irregular NetworkRésumé : (Auteur) This paper presents an automatic roof model reconstruction method based on the side projection of airborne laser scanning (ALS) data. The proposed approach first detects the building’s primary orientation and decomposes multi-layer roofs into a single one. Then, 3D structural lines are detected and restored from the projected point clouds. Finally, a line-based roof model reconstruction algorithm, namely TIN-Merging and Reshaping (TMR), is proposed. The originality for 3D roof modeling is to perform geometric analysis and topology reconstruction from two 2D projections and then reshapes the roof using elevation information from the 3D structural lines or ALS data. Experimental results indicate a nearly 100% success rate for topology reconstruction can be achieved provided that the 3D structural lines can be enclosed as polygons. However, the success rate of the Reshaping stage is dependent on the complexity of the rooftop structure. With the exception of domed and multiple orientations roofs, which are not considered in the developed method, we achieve success rates around 92–95%. As for absolute accuracy, less that 50 cm of root-mean-square error is observed in all X–Y–Z directions. The results demonstrate that the proposed scheme is robust and accurate even when a group of connected buildings with multiple layers and mixed roof types is processed. Numéro de notice : A2011-515 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.09.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.09.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31409
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 6 supplement (December 2011) . - pp 13 - 27[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011071 SL Revue Centre de documentation Revues en salle Disponible vol 66 n° 6 supplement - December 2011 - Commercial supplement issue : Advances in LIDAR data processing and applications (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / Frédéric Bretar
[n° ou bulletin]
est un bulletin de ISPRS Journal of photogrammetry and remote sensing / International society for photogrammetry and remote sensing (1980 -) (1990 -)
Titre : vol 66 n° 6 supplement - December 2011 - Commercial supplement issue : Advances in LIDAR data processing and applications Type de document : Périodique Auteurs : Frédéric Bretar, Éditeur scientifique ; W. Wagner, Éditeur scientifique ; International society for photogrammetry and remote sensing (1980 -), Auteur ; Nicolas Paparoditis , Éditeur scientifique Année de publication : 2011 Importance : 104 p. Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] fusion d'images
[Termes IGN] lasergrammétrie
[Termes IGN] reconnaissance de formes
[Termes IGN] zone urbaineNuméro de notice : 081-201107 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique En ligne : https://doi.org/10.1016/j.isprsjprs.2011.01.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=13749 [n° ou bulletin]Contient
- Extracting roads from dense point clouds in large scale urban environment / A. Boyko in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
- Automatic roof model reconstruction from ALS data and 2D ground plans based on side projection and the TMR [TIN-Merging and Reshaping] algorithm / J. Rau in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
- Recognizing basic structures from mobile laser scanning data for road inventory studies / Shi Pu in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
- Data fusion of extremely high resolution aerial imagery and LiDAR data for automated railroad centre line reconstruction / R. Beger in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
- Fusion of camera images and laser scans for wide baseline 3D scene alignment in urban environments / Michael Ying Yang in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
- Fast and automatic image-based registration of TLS data / M. Weimann in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
- Relevance assessment of full-waveform lidar data for urban area classification / Clément Mallet in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
- Testing a near-infrared Lidar mounted with a large incidence angle to monitor the water level of turbid reservoirs / S. Tamari in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
- Potential of an ultraviolet, medium-footprint lidar prototype for retrieving forest structure / Tristan Allouis in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
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Code-barres Cote Support Localisation Section Disponibilité 081-2011071 SL Revue Centre de documentation Revues en salle Disponible Data fusion of extremely high resolution aerial imagery and LiDAR data for automated railroad centre line reconstruction / R. Beger in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
[article]
Titre : Data fusion of extremely high resolution aerial imagery and LiDAR data for automated railroad centre line reconstruction Type de document : Article/Communication Auteurs : R. Beger, Auteur ; C. Gedrange, Auteur ; Robert Hecht, Auteur ; M. Neubert, Auteur Année de publication : 2011 Article en page(s) : pp 40 - 51 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] axe médian
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] fusion de données
[Termes IGN] image aérienne
[Termes IGN] lasergrammétrie
[Termes IGN] orthoimage
[Termes IGN] précision des données
[Termes IGN] semis de points
[Termes IGN] voie ferréeRésumé : (Auteur) The quality of remotely sensed data in regards of accuracy and resolution has considerably improved in recent years. Very small objects are detectable by means of imaging and laser scanning, yet there are only few studies to use such data for large scale mapping of railroad infrastructure. In this paper, an approach is presented that integrates extremely high resolution ortho-imagery and dense airborne laser scanning point clouds. These data sets are used to reconstruct railroad track centre lines. A feature level data fusion is carried out in order to combine the advantages of both data sets and to achieve a maximum of accuracy and completeness. The workflow consists of three successive processing steps. First, object-based image analysis is used to derive a railroad track mask from ortho-imagery. This spatial location information is then combined with the height information to classify the laser points. Lastly, the location of railroad track centre lines from these classified points were approximated using a feature extraction method based on an adapted random sample consensus algorithm. This workflow is tested on two railroad sections and was found to deliver very accurate results in a quickly and highly automated manner. Numéro de notice : A2011-517 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.09.012 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.09.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31411
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 6 supplement (December 2011) . - pp 40 - 51[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011071 SL Revue Centre de documentation Revues en salle Disponible Fusion of camera images and laser scans for wide baseline 3D scene alignment in urban environments / Michael Ying Yang in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
[article]
Titre : Fusion of camera images and laser scans for wide baseline 3D scene alignment in urban environments Type de document : Article/Communication Auteurs : Michael Ying Yang, Auteur ; Y. Cao, Auteur ; John McDonald, Auteur Année de publication : 2011 Article en page(s) : pp 52 - 61 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] données lidar
[Termes IGN] données localisées 2D
[Termes IGN] données localisées 3D
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] fusion de données
[Termes IGN] lasergrammétrie
[Termes IGN] ligne de base
[Termes IGN] prise de vue terrestre
[Termes IGN] semis de points
[Termes IGN] superposition de données
[Termes IGN] zone urbaineRésumé : (Auteur) In this paper we address the problem of automatic laser scan registration in urban environments. This represents a challenging problem for two major reasons. First, two individual laser scans might be captured at significantly changed viewpoints (wide baseline) and have very little overlap. Second, man-made buildings usually contain many structures of similar appearances. This will result in considerable aliasing in the matching process. By sensor fusion of laser data with camera images, we propose a novel improvement to the existing 2D feature techniques to enable automatic 3D alignment between two widely separated scans. The key idea consists of extracting dominant planar structures from 3D point clouds and then utilizing the recovered 3D geometry to improve the performance of 2D image feature for wide baseline matching. The resulting feature descriptors become more robust to camera viewpoint changes after the procedure of viewpoint normalization. Moreover, the viewpoint normalized 2D features provide robust local feature information including patch scale and dominant orientation for effective repetitive structure matching in man-made environments. Comprehensive experimental evaluations with real data demonstrate the potential of the proposed method for automatic wide baseline 3D scan alignment in urban environments. Numéro de notice : A2011-518 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.09.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.09.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31412
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 6 supplement (December 2011) . - pp 52 - 61[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011071 SL Revue Centre de documentation Revues en salle Disponible A volumetric approach to population estimation using lidar remote sensing / Zhong Lu in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 11 (November 2011)
[article]
Titre : A volumetric approach to population estimation using lidar remote sensing Type de document : Article/Communication Auteurs : Zhong Lu, Auteur ; J. Im, Auteur ; L. Quackenbush, Auteur Année de publication : 2011 Article en page(s) : pp 1145 - 1156 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] Denver
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] estimation statistique
[Termes IGN] habitat urbain
[Termes IGN] ilot
[Termes IGN] lasergrammétrie
[Termes IGN] population urbaine
[Termes IGN] recensement démographique
[Termes IGN] régression
[Termes IGN] volume (grandeur)
[Termes IGN] zone urbaineRésumé : (Auteur) This research investigated the applicability of lidar data for estimating population at the census block level using a volumetric approach. The study area, near the urban downtown area of Denver, Colorado, was selected since it includes dense distribution of different types of residential buildings. A modified morphological building detection algorithm was proposed to extract buildings from the lidar-derived surfaces. The extraction results showed that the modified morphological building detection algorithm can effectively recover building pixels occluded by nearby trees. The extracted buildings were further refined to residential buildings using parcel data. Two approaches (i.e., area- and volume-based) to population estimation were investigated at the census block level. Four regression models (i.e., simple linear regression, multiple linear regression, regression tree using one variable, and regression tree using multiple variables) were used to identify the relationship between census population and the area or volume information of the residential buildings. The volume-based models over-whelmingly outperformed the area-based models in the study area, and the models using multiple variables yielded more accurate estimation than the single variable models. The volume-based regression tree model using multiple variables yielded the most accurate estimations: R2 = 0.89, RMSE = 21 people, and RRMSE = 26.8 percent in the calibration site; and R2 = 0.80, RMSE = 27 people, and RRMSE = 30.1 percent in the validation site. As the results show, the volumetric approach using lidar remote sensing is effective for population estimation in regions with heterogeneous housing characteristics. Numéro de notice : A2011-448 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.11.1145 En ligne : https://doi.org/10.14358/PERS.77.11.1145 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31226
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 11 (November 2011) . - pp 1145 - 1156[article]Cultural heritage data acquisition and processing: a report on the ISPRS York 2011 conference / Gordon Petrie in Geoinformatics, vol 14 n° 7 (01/10/2011)PermalinkRiding the rails (2) / N. Studnicka in GEO: Geoconnexion international, vol 10 n° 9 (october 2011)PermalinkSurveying buildings: Point clouds and multi-image panoramas / Luigi Colombo in Geoinformatics, vol 14 n° 7 (01/10/2011)PermalinkDevelopment of a new laser triangulation system based on an optical frame of reference / A. Abzal in Photogrammetric record, vol 26 n° 135 (September - November 2011)PermalinkLes principes fondamentaux de la lasergrammétrie terrestre : Systèmes et caractéristiques (partie 1/2) / Tania Landes in XYZ, n° 128 (septembre - novembre 2011)PermalinkLa réalité augmentée au service de la mise en valeur du patrimoine culturel / Didier Happe in XYZ, n° 128 (septembre - novembre 2011)PermalinkMulti-level filtering segmentation to measure individual tree parameters based on Lidar data: Application to a mountainous forest with heterogeneous stands / Cédric Vega in International journal of applied Earth observation and geoinformation, vol 13 n° 4 (August 2011)PermalinkLe lidar, outil performant pour cartographier la hauteur des peuplements forestiers / Jérôme Bock in Rendez-vous techniques, n° 32 (printemps 2011)PermalinkLa tête d'Henri IV [4] modélisée / Michel Ravelet in Géomètre, n° 2083 (juillet - aout 2011)PermalinkWhen 3D pulls into the station... / C. Morton in GEO: Geoconnexion international, vol 10 n° 7 (July – august 2011)Permalink