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Building boundary tracing and regularization from airborne lidar point clouds / A. Sampath in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 7 (July 2007)
[article]
Titre : Building boundary tracing and regularization from airborne lidar point clouds Type de document : Article/Communication Auteurs : A. Sampath, Auteur ; J. Shan, Auteur Année de publication : 2007 Article en page(s) : pp 805 - 812 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] correction géométrique
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] lasergrammétrie
[Termes IGN] lissage de données
[Termes IGN] Maryland (Etats-Unis)
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] segmentation
[Termes IGN] semis de points
[Termes IGN] TorontoRésumé : (Auteur) Building boundary is necessary for the real estate industry, flood management, and homeland security applications. The extraction of building boundary is also a crucial and difficult step towards generating city models. This study presents an approach to the tracing and regularization of building boundary from raw lidar point clouds. The process consists of a sequence of four steps: separate building and non-building lidar points; segment lidar points that belong to the same building; trace building boundary points; and regularize the boundary. For separation, a slope based 1D bi-directional filter is used. The segmentation step is a region-growing approach. By modifying a convex hull formation algorithm, the building boundary points are traced and connected to form an approximate boundary. In the final step, all boundary points are included in a hierarchical least squares solution with perpendicularity constraints to determine a regularized rectilinear boundary. Our tests conclude that the uncertainty of regularized building boundary tends to be linearly proportional to the lidar point spacing. It is shown that the regularization precision is at 18 percent to 21 percent of the lidar point spacing, and the maximum offset of the determined building boundary from the original lidar points is about the same as the lidar point spacing. Limitation of lidar data resolution and errors in previous filtering processes may cause artefacts in the final regularized building boundary. This paper presents the mathematical and algorithmic formulations along with stepwise illustrations. Results from Baltimore city, Toronto city, and Purdue University campus are evaluated. Copyright ASPRS Numéro de notice : A2007-314 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.7.805 En ligne : http://dx.doi.org/10.14358/PERS.73.7.805 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28677
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 7 (July 2007) . - pp 805 - 812[article]Détection des haies et segmentation automatique / A. Dommanget in Géomatique expert, n° 57 (01/07/2007)
[article]
Titre : Détection des haies et segmentation automatique Type de document : Article/Communication Auteurs : A. Dommanget, Auteur ; C. Barnerias, Auteur Année de publication : 2007 Article en page(s) : pp 56 - 63 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] ArcView
[Termes IGN] classification barycentrique
[Termes IGN] classification dirigée
[Termes IGN] échelle cartographique
[Termes IGN] erreur de classification
[Termes IGN] forêt
[Termes IGN] haie
[Termes IGN] Ille-et-Vilaine (35)
[Termes IGN] indice de végétation
[Termes IGN] inventaire de la végétation
[Termes IGN] logiciel de traitement d'image
[Termes IGN] logique floue
[Termes IGN] orthophotographie
[Termes IGN] photographie aérienne
[Termes IGN] photographie infrarouge couleur
[Termes IGN] projection conique conforme de Lambert
[Termes IGN] segmentation d'imageRésumé : (Auteur) L'objet de la présente étude était d'extraire automatiquement les haies à partir d'orthophotographies infrarouge couleurs que l'IFN possède. Etant donné le champ de compétences de l'IFN, nous nous sommes intéressés également à l'identification des forêts. Ce travail s'inspire largement de la contribution d'Alban Dommanget réalisée dans le cadre d'un stage de MASTER 2 "Système d'Informations Géographiques" de l'Université de Caen au sein de l'Inventaire Forestier National (IFN). Copyright CiMax Numéro de notice : A2007-334 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28697
in Géomatique expert > n° 57 (01/07/2007) . - pp 56 - 63[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 265-07041 RAB Revue Centre de documentation En réserve L003 Disponible Interpretation and generalization of 3D landscape from lidar data / S. Filin in Cartography and Geographic Information Science, vol 34 n° 3 (July 2007)
[article]
Titre : Interpretation and generalization of 3D landscape from lidar data Type de document : Article/Communication Auteurs : S. Filin, Auteur ; N.A. Akel, Auteur ; K. Kemeike, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 231 - 243 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction du réseau routier
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] interprétation automatique
[Termes IGN] lasergrammétrie
[Termes IGN] placement automatique des objets
[Termes IGN] réseau routier
[Termes IGN] semis de points
[Termes IGN] visualisation 3D
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) This paper discusses the interpretation and generalization of three-dimensional landscapes derived from laser scanning data. Airborne laser scanning systems provide an unparalleled detailed description of surfaces on a large scale. This level of detail, however, raises questions regarding the effective visual communication of the data. In this paper, we consider visualization from a cartographic perspective, particularly in terms of the generalization of details and enhancement of important features. Our goal is to visualize topography efficiently, while emphasizing such features as the road network. To achieve this, the communication of 3D landscapes has been implemented as a modular pipeline of individual, configurable processes, focusing on the interpretation of the laser dataset and its generalization. The raw laser point-cloud then becomes an input to a sequence of processes that result in a generalized topography. The interpretation process concerns the extraction of the terrain and the road network from the raw data. The generalization of the interpreted entities then follows. The application of the proposed model shows improved manifestation of the road network within the terrain. Copyright CaGISociety Numéro de notice : A2007-395 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1559/152304007781697857 En ligne : https://doi.org/10.1559/152304007781697857 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28758
in Cartography and Geographic Information Science > vol 34 n° 3 (July 2007) . - pp 231 - 243[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-07031 RAB Revue Centre de documentation En réserve L003 Disponible Automatic and precise orthorectification, coregistration, and subpixel correlation of satellite images: application to ground deformation measurements / S. Leprince in IEEE Transactions on geoscience and remote sensing, vol 45 n° 6 Tome 1 (June 2007)
[article]
Titre : Automatic and precise orthorectification, coregistration, and subpixel correlation of satellite images: application to ground deformation measurements Type de document : Article/Communication Auteurs : S. Leprince, Auteur ; Sylvain Barbot, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 1529 - 1558 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale
[Termes IGN] analyse infrapixellaire
[Termes IGN] corrélation
[Termes IGN] crénelage
[Termes IGN] déformation de la croute terrestre
[Termes IGN] image optique
[Termes IGN] image SPOT
[Termes IGN] matrice inversible
[Termes IGN] modèle numérique de surface
[Termes IGN] orientation du capteur
[Termes IGN] orthorectification
[Termes IGN] séisme
[Termes IGN] superposition d'imagesRésumé : (Auteur) We describe a procedure to accurately measure ground deformations from optical satellite images. Precise orthorectification is obtained owing to an optimized model of the imaging system, where look directions are linearly corrected to compensate for attitude drifts, and sensor orientation uncertainties are accounted for. We introduce a new computation of the inverse projection matrices for which a rigorous resampling is proposed. The irregular resampling problem is explicitly addressed to avoid introducing aliasing in the ortho-rectified images. Image registration and correlation is achieved with a new iterative unbiased processor that estimates the phase plane in the Fourier domain for subpixel shift detection. Without using supplementary data, raw images are wrapped onto the digital elevation model and coregistered with a 1/50 pixel accuracy. The procedure applies to images from any pushbroom imaging system. We analyze its performance using Satellite pour l'Observation de la Terre (SPOT) images in the case of a null test (no coseismic deformation) and in the case of large coseismic deformations due to the Mw 7.1 Hector Mine, California, earthquake of 1999. The proposed technique would also allow precise coregistration of images for the measurement of surface displacements due to ice-flow or geomorphic processes, or for any other change detection applications. A complete software package, the Coregistration of Optically Sensed Images and Correlation, is available for download from the Caltech Tectonics Observatory website. Numéro de notice : A2007-361 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.888937 En ligne : https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4215064 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28724
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 6 Tome 1 (June 2007) . - pp 1529 - 1558[article]Building detection by fusion of airborne laser scanner data and multi-spectral images: performance evaluation and sensitivity analysis / Franz Rottensteiner in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 2 (June 2007)
[article]
Titre : Building detection by fusion of airborne laser scanner data and multi-spectral images: performance evaluation and sensitivity analysis Type de document : Article/Communication Auteurs : Franz Rottensteiner, Auteur ; John C. Trinder, Auteur ; S. Clode, Auteur ; K. Kubik, Auteur Année de publication : 2007 Article en page(s) : pp 135 - 149 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse de sensibilité
[Termes IGN] classification de Dempster-Shafer
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] fusion de données multisource
[Termes IGN] image multibande
[Termes IGN] lasergrammétrie
[Termes IGN] test de performanceRésumé : (Auteur) In this paper, we describe the evaluation of a method for building detection by the Dempster–Shafer fusion of airborne laser scanner (ALS) data and multi-spectral images. For this purpose, ground truth was digitised for two test sites with quite different characteristics. Using these data sets, the heuristic models for the probability mass assignments are validated and improved, and rules for tuning the parameters are discussed. The sensitivity of the results to the most important control parameters of the method is assessed. Further we evaluate the contributions of the individual cues used in the classification process to determine the quality of the results. Applying our method with a standard set of parameters on two different ALS data sets with a spacing of about 1 point/m2, 95% of all buildings larger than 70 m2 could be detected and 95% of all detected buildings larger than 70 m2 were correct in both cases. Buildings smaller than 30 m2 could not be detected. The parameters used in the method have to be appropriately defined, but all except one (which must be determined in a training phase) can be determined from meaningful physical entities. Our research also shows that adding the multi-spectral images to the classification process improves the correctness of the results for small residential buildings by up to 20%. Copyright ISPRS Numéro de notice : A2007-261 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.03.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.03.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28624
in ISPRS Journal of photogrammetry and remote sensing > vol 62 n° 2 (June 2007) . - pp 135 - 149[article]Réservation
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