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Trajectory-based registration of 3d lidar point clouds acquired with a mobile mapping system / Adrien Gressin in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol I-3 (2012)
[article]
Titre : Trajectory-based registration of 3d lidar point clouds acquired with a mobile mapping system Type de document : Article/Communication Auteurs : Adrien Gressin , Auteur ; Bertrand Cannelle , Auteur ; Clément Mallet , Auteur ; Jean-Pierre Papelard , Auteur Année de publication : 2012 Conférence : ISPRS 2012, Commission 3, 22th international congress 25/08/2012 01/09/2012 Melbourne Australie OA ISPRS Annals Commission 3 Article en page(s) : pp 117 - 122 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] algorithme ICP
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] semis de points
[Termes IGN] système de numérisation mobile
[Termes IGN] traitement de données localisées
[Termes IGN] trajectoire (véhicule non spatial)Résumé : (auteur) Thanks to a hybrid georeferencing unit coupling GNSS and IMU sensors, mobile mapping systems (MMS) with lidar sensors provide accurate 3D point clouds of the acquired areas, mainly urban cities. When dealing with several acquisitions of the same area with the same device, differences in the range of several tens of centimeters can be observed. Such degradation of the georeferencing accuracies are due to two main reasons: inertial drift and losses of GNSS signals in urban corridors. The purpose of this paper is therefore to correct these differences with an accurate ICP-based registration algorithm, and then to correct the MMS trajectory using these retrieved local transformation parameters.The trajectory loop information plays a key role for that purpose. We propose a four-step method starting from a 3D point cloud with overlapping parts, and the trajectory of the mobile mapping system. First, a polygonal approximation of the trajectory is computed in order to first divide the whole registration problem in local sub-issues. Secondly, we aim to find all the potential overlapping acquired areas between these segments using simple bounding box intersections. Thirdly, for each pair of overlapping areas, an efficient variant of the ICP algorithm is proposed to (1) prune cases where segments do not share point clouds of the same areas and (2) retrieve the transformation parameters, for real overlapping cases. Finally, all these transformations are linked together, and fed into a global distance compensation problem, allowing to adjust the MMS trajectories for several passages. As a conclusion, this method is successfully applied to data acquired over Paris (France) with the Stereopolis mobile mapping system. Numéro de notice : A2012-711 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-I-3-117-2012 Date de publication en ligne : 20/07/2012 En ligne : http://dx.doi.org/10.5194/isprsannals-I-3-117-2012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82700
in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol I-3 (2012) . - pp 117 - 122[article]Trees detection from laser point clouds acquired in dense urban areas by a mobile mapping system / Fabrice Monnier in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol I-3 (2012)
[article]
Titre : Trees detection from laser point clouds acquired in dense urban areas by a mobile mapping system Type de document : Article/Communication Auteurs : Fabrice Monnier , Auteur ; Bruno Vallet , Auteur ; Bahman Soheilian , Auteur Année de publication : 2012 Article en page(s) : pp 245 - 250 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse de groupement
[Termes IGN] détection d'arbres
[Termes IGN] détection de partie cachée
[Termes IGN] données lidar
[Termes IGN] Ransac (algorithme)
[Termes IGN] reconstruction 3D
[Termes IGN] scène urbaine
[Termes IGN] semis de points
[Termes IGN] système de numérisation mobileRésumé : (auteur) 3D reconstruction of trees is of great interest in large-scale 3D city modelling. Laser scanners provide geometrically accurate 3D point clouds that are very useful for object recognition in complex urban scenes. Trees often cause important occlusions on building façades. Their recognition can lead to occlusion maps that are useful for many façade oriented applications such as visual based localisation and automatic image tagging. This paper proposes a pipeline to detect trees in point clouds acquired in dense urban areas with only laser informations (x,y, z coordinates and intensity). It is based on local geometric descriptors computed on each laser point using a determined neighbourhood. These descriptors describe the local shape of objects around every 3D laser point. A projection of these values on a 2D horizontal accumulation space followed by a combination of morphological filters provides individual tree clusters. The pipeline is evaluated and the results are presented on a set of one million laser points using a man made ground truth. Numéro de notice : A2012-764 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-I-3-245-2012 Date de publication en ligne : 20/07/2012 En ligne : https://doi.org/10.5194/isprsannals-I-3-245-2012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101276
in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol I-3 (2012) . - pp 245 - 250[article]Building detection in complex scenes thorough effective separation of buildings from trees / M. Awrangjeb in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 7 (July 2012)
[article]
Titre : Building detection in complex scenes thorough effective separation of buildings from trees Type de document : Article/Communication Auteurs : M. Awrangjeb, Auteur ; C. Zhang, Auteur ; Clive Simpson Fraser, Auteur Année de publication : 2012 Article en page(s) : pp 729 - 745 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] détection automatique
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] extraction de la végétation
[Termes IGN] image aérienneRésumé : (Auteur) Effective separation of buildings from trees is a major challenge in image-based automatic building detection. This paper presents a three-step method for effective separation of buildings from trees using aerial imagery and lidar data. First, it uses cues such as height to remove objects of low height such as bushes, and width to exclude trees with small horizontal coverage. The height threshold is also used to generate a ground mask where buildings are found to be more separable than in so-called normalized DSM. Second, image entropy and color information are jointly applied to remove easily distinguishable trees. Finally, an innovative rule-based procedure is employed using the edge orientation histogram from the imagery to eliminate false positive candidates. The improved building detection algorithm has been tested on different test areas and it is shown that the algorithm offers high building detection rate in complex scenes which are hilly and densely vegetated. Numéro de notice : A2012-323 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.7.729 En ligne : https://doi.org/10.14358/PERS.78.7.729 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31769
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 7 (July 2012) . - pp 729 - 745[article]Documents numériques
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a2012-323.pdfAdobe Acrobat PDF Building detection in complex thorough effective separation of buildings from trees / M. Awrangjeb in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 7 (July 2012)
[article]
Titre : Building detection in complex thorough effective separation of buildings from trees Type de document : Article/Communication Auteurs : M. Awrangjeb, Auteur ; C. Zhang, Auteur ; Clive Simpson Fraser, Auteur Année de publication : 2012 Article en page(s) : pp 729 - 745 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] arbre (flore)
[Termes IGN] détection de contours
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] histogramme
[Termes IGN] image aérienne
[Termes IGN] modèle numérique de surface
[Termes IGN] seuillage d'imageRésumé : (Auteur) Effective separation of buildings from trees is a major challenge in image-based automatic building detection. This paper presents a three-step method for effective separation of buildings from trees using aerial imagery and lidar data. First, it uses cues such as height to remove objects of low height such as bushes, and width to exclude trees with small horizontal coverage. The height threshold is also used to generate a ground mask where buildings are found to be more separable than in so-called normalized DSM. Second, image entropy and color information are jointly applied to remove easily distinguishable trees. Finally, an innovative rule-based procedure is employed using the edge orientation histogram from the imagery to eliminate false positive candidates. The improved building detection algorithm has been tested on different test areas and it is shown that the algorithm offers high building detection rate in complex scenes which are hilly and densely vegetated. Numéro de notice : A2012-359 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.78.7.729 En ligne : http://dx.doi.org/10.14358/PERS.78.7.729 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31805
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 7 (July 2012) . - pp 729 - 745[article]A deterministic method to integrate triangular meshes of different resolution / Giorgio Agugiaro in ISPRS Journal of photogrammetry and remote sensing, vol 71 (July 2012)
[article]
Titre : A deterministic method to integrate triangular meshes of different resolution Type de document : Article/Communication Auteurs : Giorgio Agugiaro, Auteur ; Thomas Kolbe, Auteur Année de publication : 2012 Article en page(s) : pp 96 - 109 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] cohérence géométrique
[Termes IGN] données hétérogènes
[Termes IGN] données laser
[Termes IGN] données localisées 3D
[Termes IGN] intégration de données
[Termes IGN] maillage par triangles
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] Triangulated Irregular NetworkRésumé : (Auteur) As a result of new sensors and methodologies that allow for faster and more accurate data acquisition, the production of highly detailed 3D models is becoming part of the standard workflow in many disciplines – architecture, cultural heritage, urban planning, and others. At the same time, new related problems have emerged concerning the management of the resulting large datasets and the integration of data coming from different sources. Data integration among heterogeneous datasets can lead to a variety of errors, and the reasons for these errors are multiple including geometric, topological or semantic incompatibilities, different resolutions and accuracies, and data acquired at different times. To overcome such errors, the integration of heterogeneous datasets requires appropriate homogenisation techniques. This article presents a new deterministic approach for the integration of a high resolution surface model and a lower resolution surface model, both given as triangular meshes embedded in 3D space, by means of a transition surface. The method can be applied after both datasets have been aligned. The derivation of the transition surface exploits extra data that are typically available in the high resolution model. These extra data (e.g. quite common when using a laser scanner) must be 2.5D and located around the high resolution model, they represent a sort of planimetric buffer around the high resolution object that can be thought as a “collar”. The proposed method generates a geometrically and topologically sound and continuous 2.5D surface that integrates the two models using the data contained in the collar. It takes into account the different quality aspects of the low and high resolution models such as point height, point density, and height gradient, and then creates a transition surface that interpolates these aspects between the embedded high resolution model and the surrounding low resolution model. The article also presents some experimental results, obtained from real datasets, and concludes with some remaining issues and possible improvements to the method. Numéro de notice : A2012-351 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.05.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.05.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31797
in ISPRS Journal of photogrammetry and remote sensing > vol 71 (July 2012) . - pp 96 - 109[article]Réservation
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