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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]Clustering of detected changes in high-resolution satellite imagery using a stabilized competitive agglomeration algorithm / O. Sjahputera in IEEE Transactions on geoscience and remote sensing, vol 49 n° 12 Tome 1 (December 2011)
[article]
Titre : Clustering of detected changes in high-resolution satellite imagery using a stabilized competitive agglomeration algorithm Type de document : Article/Communication Auteurs : O. Sjahputera, Auteur ; G. Scott, Auteur ; B. Claywell, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 4687 - 4703 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse de groupement
[Termes IGN] chevauchement
[Termes IGN] classification floue
[Termes IGN] dalle
[Termes IGN] détection de changement
[Termes IGN] image à haute résolution
[Termes IGN] mosaïque d'imagesRésumé : (Auteur) The Geospatial Change Detection and exploitation (GeoCDX) is a fully automated system for detection and exploitation of change between multitemporal high-resolution satellite and airborne images. Overlapping multitemporal images are first organized into 256 m x 256 m tiles in a global grid reference system. The system quantifies the overall amount of change in a given tile with a tile change score as an aggregation of pixel-level changes. The tiles are initially ranked by these change scores for retrieval, review, and exploitation in a Web-based application. However, the ranking does not account for the wide variety of change types that are typically observed in the top-ranked change tiles. To automatically organize the wide variety of change patterns observed in multitemporal high-resolution imagery, we perform tile clustering using the competitive agglomeration (CA) algorithm stabilized using the fuzzy c-means (FCM) algorithm. Each resulting cluster contains tiles with a visually similar type of change. By visual inspection of these tile clusters, GeoCDX users can quickly find certain types of change without having to sift through a large number of tiles initially organized solely by their tile change score, thereby reducing the time it takes for users to discover and exploit the change pattern(s) of greatest interest to a given application (e.g., urban growth, disaster assessment, facility monitoring, etc.). The tile clusters also provide a high-level overview of the various types of change that occur between the two observations. This overview is compared with a similar yet more limited view offered by a relevance feedback tool that requires a user to select sample tiles for use as samples in the reranking process. Numéro de notice : A2011-477 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2152847 Date de publication en ligne : 22/12/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2152847 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31371
in IEEE Transactions on geoscience and remote sensing > vol 49 n° 12 Tome 1 (December 2011) . - pp 4687 - 4703[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2011121A RAB Revue Centre de documentation En réserve L003 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 Digital photogrammetric workstations / Mathias Lemmens in GIM international, vol 25 n° 12 (December 2011)
[article]
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 En réserve L003 Disponible 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)
[article]
Titre : Extracting roads from dense point clouds in large scale urban environment Type de document : Article/Communication Auteurs : A. Boyko, Auteur ; T. Funkhouser, Auteur Année de publication : 2011 Article en page(s) : pp 2 - 12 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] carte routière
[Termes IGN] centre urbain
[Termes IGN] données lidar
[Termes IGN] extraction du réseau routier
[Termes IGN] représentation cartographique 3D
[Termes IGN] réseau routier
[Termes IGN] semis de points
[Termes IGN] zone urbaineRésumé : (Auteur) This paper describes a method for extracting roads from a large scale unstructured 3D point cloud of an urban environment consisting of many superimposed scans taken at different times. Given a road map and a point cloud, our system automatically separates road surfaces from the rest of the point cloud. Starting with an approximate map of the road network given in the form of 2D intersection locations connected by polylines, we first produce a 3D representation of the map by optimizing Cardinal splines to minimize the distances to points of the cloud under continuity constraints. We then divide the road network into independent patches, making it feasible to process a large point cloud with a small in-memory working set. For each patch, we fit a 2D active contour to an attractor function with peaks at small vertical discontinuities to predict the locations of curbs. Finally, we output a set of labeled points, where points lying within the active contour are tagged as “road” and the others are not. During experiments with a LIDAR point set containing almost a billion points spread over six square kilometers of a city center, our method provides 86% correctness and 94% completeness. Numéro de notice : A2011-514 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.09.009 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.09.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31408
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 6 supplement (December 2011) . - pp 2 - 12[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011071 SL Revue Centre de documentation Revues en salle Disponible 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)PermalinkFusion 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)PermalinkObject-based image analysis of high-resolution satellite images using modified cloud basis function neural network and probabilistic relaxation labeling process / A. Rizvi in IEEE Transactions on geoscience and remote sensing, vol 49 n° 12 Tome 1 (December 2011)PermalinkRéduction du chatoiement et apport des données ASAR Envisat et MNE SRTM à la cartographie hydrostructurale du bassin côtier de l'Agnéby (Sud-Est de la côte d'Ivoire) / T. Assoma in Photo interprétation, European journal of applied remote sensing, vol 47 n° 4 (décembre 2011)PermalinkAmélioration d'une base de données d'empreintes de bâtiments pour la reconstruction 3D : une approche par découpe et fusion / Bruno Vallet in Revue Française de Photogrammétrie et de Télédétection, n° 195 (Novembre 2011)PermalinkUne approche parallèle d'évaluation des paramètres de texture pour l'analyse d'images de grande taille / N. Talla Tankam in Revue Française de Photogrammétrie et de Télédétection, n° 195 (Novembre 2011)PermalinkClassification orientée-objet supervisée d'une forêt avec une sélection guidée d'attributs personnalisés / Olivier de Joinville in Revue Française de Photogrammétrie et de Télédétection, n° 195 (Novembre 2011)PermalinkAutomatic georeferencing of aerial images using stereo high-resolution satellite images / J. Oh in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 11 (November 2011)PermalinkIntercomparison and validation of techniques for spectral unmixing of hyperspectral images : a planetary case study / X. Ceamanos in IEEE Transactions on geoscience and remote sensing, vol 49 n° 11 Tome 1 (November 2011)Permalinkvol 49 n° 11 Tome 1 - November 2011 - Part1 of 2 parts (Bulletin de IEEE Transactions on geoscience and remote sensing) / M. WeissPermalink