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Termes IGN > sciences naturelles > physique > traitement d'image > analyse d'image numérique > extraction de traits caractéristiques > détection de contours
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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 Building feature extraction from airborne lidar data based on tensor voting algorithm / R. You in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 12 (December 2011)
[article]
Titre : Building feature extraction from airborne lidar data based on tensor voting algorithm Type de document : Article/Communication Auteurs : R. You, Auteur ; B. Lin, Auteur Année de publication : 2011 Article en page(s) : pp 1221 - 1231 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] calcul tensoriel
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] valeur propreRésumé : (Auteur) This study presents a novel approach based on the tensor voting framework for extracting building features from airborne lidar data. Geometric features of lidar points are represented by a tensor field in this paper. For the extraction of roof patches, a region-growing method with principal features is developed from the properties of eigenvalues and eigenvectors of the tensor field. Additionally, three new indicators for the strength of features are presented to reduce the effect of the number of points on feature identification, and a supervised method is proposed to determine the threshold of planar feature strength for the region-growing. The extraction of ridge and edge lines from the segmented roof patches is also discussed. Experiments based on airborne lidar data are described to demonstrate the effectiveness of the proposed method, with those the results compared with the PCA method. Numéro de notice : A2011-487 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.12.1221 En ligne : https://doi.org/10.14358/PERS.77.12.1221 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31381
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 12 (December 2011) . - pp 1221 - 1231[article]Digital photogrammetric workstations / Mathias Lemmens in GIM international, vol 25 n° 12 (December 2011)
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Titre : Digital photogrammetric workstations Type de document : Article/Communication Auteurs : Mathias Lemmens, Auteur Année de publication : 2011 Article en page(s) : pp 28 - 31 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] détection de contours
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] station de travail de photogrammétrie numérique
[Termes IGN] traitement automatique de donnéesRésumé : (Auteur) For over a century, images taken from above-ground platforms have been major data sources for topographic mapping, creation of base maps and many other uses. For the past decade or more, data has been extracted from the imagery using computer software on what have become known as digital photogrammetric workstations. Some of the tasks can be performed almost fully automatically while others require extensive human involvement. To tie in with the new product survey on digital photogrammetric workstations published on our website, this article discusses the latest status and features. Numéro de notice : A2011-466 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : http://www.gim-international.com/content/article/digital-photogrammetric-worksta [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31360
in GIM international > vol 25 n° 12 (December 2011) . - pp 28 - 31[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 061-2011121 RAB 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]Empirical comparison of full-waveform Lidar algorithms: range extraction and discrimination performance / C. Parrish in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 8 (August 2011)
[article]
Titre : Empirical comparison of full-waveform Lidar algorithms: range extraction and discrimination performance Type de document : Article/Communication Auteurs : C. Parrish, Auteur ; I. Robert, Auteur ; R. Nowak, Auteur ; B. Smith, Auteur Année de publication : 2011 Article en page(s) : pp 825 - 838 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse comparative
[Termes IGN] analyse discriminante
[Termes IGN] détection de contours
[Termes IGN] extraction de données
[Termes IGN] lidar à retour d'onde complète
[Termes IGN] performance
[Termes IGN] signal lidarRésumé : (Auteur) As third-party lidar software manufacturers are increasingly adding support for full-waveform data, a common question is which algorithm(s) to implement. To this end, a new approach is needed to compare and contrast various lidar waveform processing strategies from a practical, operational perspective. Quality and type of information output, processing speed, suitability for particular applications, robustness against poor parameter selection, and more subjective measures related to user experience are of interest. This paper describes a new empirical method of comparing range extraction and discrimination performance of different algorithms, based on a ranging-lab setup with multiple, adjustable screen targets, with precisely-measured separations. We present the results of comparing three different algorithms described in the scientific literature. The results show distinct differences and also indicate that there is no "one-size-fits-all" approach: the choice of a specific algorithm and adjustable parameter settings are highly application-dependent. Numéro de notice : A2011-350 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.8.825 En ligne : https://doi.org/10.14358/PERS.77.8.825 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31129
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 8 (August 2011) . - pp 825 - 838[article]A multispectral and multiscale morphological index for automatic building extraction from multispectral GeoEye-1 imagery / X. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 7 (July 2011)PermalinkReal-time object detection with sub-pixel accuracy using the level set method / F. Burkert in Photogrammetric record, vol 26 n° 134 (June - August 2011)PermalinkExtraction of cartographic contour lines using digital terrain Model (DTM) / Kusay Jaara in Cartographic journal (the), vol 48 n° 2 (May 2011)PermalinkA new pan-sharpening method using multiobjective particle swarm optimization and the shiftable contourlet transform / J. Saeedi in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 3 (May - June 2011)PermalinkPermalinkChange detection in a topographic building database using submetric satellite images / Arnaud Le Bris (2011)PermalinkEdge enhancement algorithm based on the wavelet transform for automatic edge detection InSAR images / Mariví Tello Alonso in IEEE Transactions on geoscience and remote sensing, vol 49 n° 1 Tome 1 (January 2011)PermalinkRecalage d'un nuage de points de scanner laser terrestre avec une image de bâtiment / Abdelhamid Bennis (2011)PermalinkAutomatic detection of residential building using LIDAR data and multispectral imagery / M. Awrangjeb in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 5 (September - October 2010)PermalinkComparison of matching algorithms for DSM generation in urban areas from ikonos imagery / A. Alobeid in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 9 (September 2010)Permalink