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Titre : Relative laser scanner and image pose estimation from points and segments Type de document : Article/Communication Auteurs : Matthieu Deveau , Auteur ; Nicolas Paparoditis , Auteur ; Marc Pierrot-Deseilligny , Auteur ; Xin Chen, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2004 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 num. 35-B3 Conférence : ISPRS 2004, 20th international congress of photogrammetry and remote sensing, Geo-Imagery Bridging continents 12/07/2004 23/07/2004 Istanbul Turquie OA ISPRS Archives Importance : pp 1130 - 1135 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] contrainte géométrique
[Termes IGN] détection de contours
[Termes IGN] données laser
[Termes IGN] métrologie
[Termes IGN] position directe
[Termes IGN] primitive géométrique
[Termes IGN] segment de droite
[Termes IGN] semis de pointsIndex. décimale : 33.30 Photogrammétrie numérique Résumé : (Auteur) This paper presents an approach involving linear features for pose estimation. Here we are interesting in surveys mixing image and laser scanning, for metrological applications. Since data need to be registered with the best accuracy, we are faced to a 2D-3D pose estimation problem. In most cases, scenes contain numerous segments, which are good orientation dues. We use these segments to find pose. Therefore, targets are less prevalent for location and orientation estimation purpose. This means less field operations during data acquisition. Since some scenes with very few straight lines can leave insufficient spatial constraints, we reintroduce points. We can deal with feature points to reinforce the System. Then, the algorithm simultaneously minimizes an energy function managing distances between 3D points projection in images and image points, and distances on segments ends. Precise determination of primitives in 2D and 3D data leads to fine orientation. Using subpixelar regression after an edge detection gives high-quality estimates for 2D segments. In point clouds, 3D segments corne from plane intersection. We discuss relative influence of features through uncertainty assessment. Numéro de notice : 57399 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXV/congress/comm3/papers/436.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64739 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 57399-01 33.30 Tiré à part Centre de documentation Photogrammétrie - Lasergrammétrie Disponible
Titre : 3D image models in a dynamic environmental GIS Type de document : Article/Communication Auteurs : Eva Savina Malinverni, Auteur ; F. Di Gioia, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2003 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 num. 34-5/W10 Conférence : ISPRS 2003, WG V/6 International Workshop Visualization and animation of reality-based 3D Models 24/02/2003 27/02/2003 Tarasp-Vulpera Suisse OA proceedings Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] aménagement du territoire
[Termes IGN] base de données cartographiques
[Termes IGN] cartographie numérique
[Termes IGN] modèle numérique de terrain
[Termes IGN] orthoimage
[Termes IGN] représentation multiple
[Termes IGN] SIG dynamique
[Termes IGN] système d'information environnementale
[Termes IGN] visualisation 3DIndex. décimale : 33.30 Photogrammétrie numérique Résumé : (Auteur) The modem digital cartography, represented by numerical cartography, digital elevation models (DEM, DTM, DSM), orthoimages or the same like photo textured on DEM, is the metrically correct and highly descriptive system on which integrate any other source of information. These three-dimensional models in dynamic GIS can provide an interesting tool for the environmental and territorial data management. Aim of this research is to set up procedures for generating a three-dimensional map with maximum characteristics of description and the best accuracy, in order to be over the bidimensional GIS mapping system. DTMs, orthoimages and their 3D models overlay are performed by softwares dedicated to digital photogrammetry (ER Mapper, Surfer) and CAD designs (3dStudio Max, AutoCAD 2000). Successively these representations have been elaborated within the GIS system for a series of different themes and queries, which can be of a great support for a decision system. The use of geographic computerised system is fundamental to acquire, manage and revise all sort of information. This work shows how to create a complete, as far as the cartography is concerned, threedimensional database within the GIS system. Digital sensor derived images, or digitalised images, remote sensing acquired, or any other spatial referred qualitative or quantitative data can be used as data for the application of new methodologies and new procedures for the cartographical elaborations and their representations. Their final products, or the intermediate ones, are easily managed by very well and worldwide known systems, such as the GIS one. Numéro de notice : 15075 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication DOI : sans En ligne : https://www.isprs.org/proceedings/XXXIV/5-W10/papers/malinver.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64386 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 15075-01 33.30 Tiré à part Centre de documentation Photogrammétrie - Lasergrammétrie Disponible Automatische Extraktion von Straßen aus digitalen Luftbildern / Andreas Baumgartner (2003)
Titre : Automatische Extraktion von Straßen aus digitalen Luftbildern Titre original : [Extraction automatique des routes à partir d'images aériennes numériques] Type de document : Thèse/HDR Auteurs : Andreas Baumgartner, Auteur Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 2003 Collection : DGK - C Sous-collection : Dissertationen num. 564 Importance : 78 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-7696-5003-7 Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] détection de contours
[Termes IGN] extraction du réseau routier
[Termes IGN] image numérisée
[Termes IGN] photographie aérienne
[Termes IGN] réseau routier
[Termes IGN] segmentation d'image
[Termes IGN] texture d'imageIndex. décimale : 33.30 Photogrammétrie numérique Résumé : (Auteur) This thesis proposes a new approach for the automatic extraction of roads from digital aerial imagery. It focuses on fully automatic extraction and uses an explicit object model. Compared to other approaches, the most prominent features of this thesis are the exploitation of the scale-space behavior of roads and the use of contextual information by means of global context regions and local relations between roads and other objects. The approach aims at road extraction in open rural areas. Panchromatic aerial images with a pixel size of approximately 0.2 to 0.5 meter on the ground serve as input data for the automatic extraction.The proposed approach makes use of several versions of the aerial image with different resolution. Roads are modelled as a network of intersections and links between these intersections. For different so-called global contexts, i.e., rural, forest, and urban area, the model defines relations between background objects and road objects. These relations, e.g., that a tree casts a shadow on a road-segment, determine so-called local contexts. These local contexts are modelled differently depending on the global context regions. An automatic segmentation of the aerial image into different global contexts by means of texture classification is used to focus the extraction on the most promising regions. Additionally, it allows to predict in which parts of the image the results will be most reliable. For the actual extraction of the roads edges are extracted in the original high resolution image (pixel size 0.2-0.5 m) and lines in an image of reduced resolution (pixel size 2-4 m). Using both resolution levels and explicit knowledge about roads hypotheses for road-segments are generated. They are grouped iteratively into longer segments. In addition to pure grouping criteria also knowledge about the local context and so-called "Ribbon-Snakes" are used to bridge gaps. For the construction of the road network, intersections are extracted. The examples presented and the results of an evaluation based on manually plotted reference data show the efficiency of the approach. Numéro de notice : 13163 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=54900 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 13163-01 33.30 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible
Titre : Automatische Georeferenzierung von Fernerkundungsdaten Titre original : [Géoréférencement automatique de données de télédétection] Type de document : Thèse/HDR Auteurs : Heiner Hild, Auteur Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 2003 Collection : DGK - C Sous-collection : Dissertationen num. 562 Importance : 132 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-7696-5001-3 Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] arbre (mathématique)
[Termes IGN] base de données ATKIS
[Termes IGN] classe d'objets
[Termes IGN] détection de contours
[Termes IGN] données maillées
[Termes IGN] données vectorielles
[Termes IGN] extraction automatique
[Termes IGN] géoréférencement
[Termes IGN] méthode robuste
[Termes IGN] objet géographique zonal
[Termes IGN] points homologues
[Termes IGN] polygoneIndex. décimale : 33.30 Photogrammétrie numérique Résumé : (Auteur) In photogrammetry and remote sensing, the processing of image based information within a GIS is based on georeferenced data. The methods of direct georeferencing naturally have a high level of automation where indirect methods still need manual interaction. Within this thesis, a completely implemented system for automatic indirect georeferencing is presented. The developed procedure is based on features of polygons being extracted in the data sets to be matched. Where image data are in raster form by nature, reference data for the outlined system can be in raster or in vector form. There do not exist any limitations in form of approximate values. The extraction of polygonal objects from image data is carried out by multiple segmentation. In order to evaluate the results of the chosen region-growing algorithm, several examinations are carried out. Merging of neighboured polygons with the same object class does the extraction of suitable polygons from GIS reference data. Within the framework of this thesis, German ATKIS data are used exclusively. Based on the theory of affine invariants of algebraic forms, features are developed which can be computed from geometric moments of raster and vector polygons. Alternatively, polygon features are derived from cross-weighted moment's invariants that can be obtained from geometric moments of raster and vector polygons in a similar way. Studies on the robustness of the features and their ability to discriminate similar objects are carried out by the use of synthetic and real data. A backtracking-depht-first tree search algorithm with unary and binary constraints obtains the matching of image and reference data. In order to formulate the constraints, an affine transformation is computed from the geometric moments for each pair. The procedure is based on the theory of standard positions. A closing verification step leads to a global affine transformation between image and reference system. The approximate transformation is individually refined with the IterativeClosestPoint algorithm. Based on the optimised affine transformation for each polygon pair, tie points are generated automatically on the borderline of the polygons. Based on a theoretical consideration, extensive studies on the achievable tie point accuracy were carried out with three synthetic and real data sets. The performance and robustness of the developed system under various input data is demonstrated by controlled application of disturbances. Numéro de notice : 15029 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère DOI : sans En ligne : https://www.ifp.uni-stuttgart.de/dokumente/Dissertationen/hild_c-562.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=55047 Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 15029-02 33.30 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible 15029-01 33.30 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible Digital photogrammetry / W. Linder (2003)
Titre : Digital photogrammetry : theory and applications Type de document : Guide/Manuel Auteurs : W. Linder, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2003 Importance : 189 p. Format : 16 x 24 cm - cont. cederom ISBN/ISSN/EAN : 978-3-540-00810-1 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] aérotriangulation
[Termes IGN] compensation par bloc
[Termes IGN] limite de résolution géométrique
[Termes IGN] limite de résolution radiométrique
[Termes IGN] modèle numérique de terrain
[Termes IGN] mosaïque d'images
[Termes IGN] orientation interne
[Termes IGN] orthoimage
[Termes IGN] photogrammétrie métrologiqueIndex. décimale : 33.30 Photogrammétrie numérique Note de contenu : 1. Introduction
1.1 Basic idea and main task of photogrammetry
1.2 Image sources: Analogue and digital cameras
1.3 Short history of photogrammetric evaluation methods
1.4 Geometric principles 1: Flying height, focal length
1.5 Geometric principles 2: Image orientation
1.6 Some definitions
1.7 Length and angle units
2. Included software and data
2.1 Hardware requirements, operating system
2.2 Image material
2.3 Overview of the software
2.4 Installation
2.5 Additional programmes, copyright, data
2.6 General remarks
3. Scanning of photos
3.1 Scanner types
3.2 Geometric resolution
3.3 Radiometric resolution
3.4 Some practical advice
3.5 Import of the scanned images
4. Example 1: A single model
4.1 Project definition
4.2 Orientation of the images
4.2.1 Camera definition
4.2.2 Interior orientation
4.2.3 Brightness and contrast
4.2.4 Control points
4.2.5 Exterior orientation
4.2.6 Over-determination and error detection
4.3 Model definition
4.4 Stereoscopic viewing
4.5 Measurement of object co-ordinates
4.6 Creation of DTMs via image matching
4.6.1 Some theory
4.6.2 Practical tests
4.6.4 Additional manual measurements
4.6.5 Quality control
4.7 Ortho images
4.7.1 Some theory
4.7.2 Resampling methods
4.7.3 Practical tests
4.7.4 Creation and overlay of contours
4.7.5 Simple 3D data collection
5. Example 2: Aerial triangulation
5.1 Aerial triangulation measurement (ATM)
5.1.1 Common principles
5.1.2 Interior orientation
5.1.3 Manual measurement
5.1.4 Automatic measurement via image matching: Introduction
5.1.5 Co-ordinate input and measurement of ground control points
5.1.6 Strip definition
5.1.7 Measurement of strip connections
5.1.8 Automatic image co-ordinate measurement (AATM)
5.2 Block adjustment with BL UH
5.2.1 Setting the parameters
5.2.2 Block adjustment, batch mode
5.2.3 Discussion of the results
5.2.4 Additional analysis of the results
5.2.5 Block adjustment with other programmes: Example BINGO
5.3 Mosaics of DTMs and ortho images
5.3.1 Model definition
5.3.2 Creation of a WM mosaic
5.3.3 Creation of an ortho image mosaic
5.3.4 Shaded relief
5.3.5 Contour lines overlay
5.3.6 3D view
5.3.7 3D view in real-time: Example for plug-ins
6. Example 3: Some special cases
6.1 Scanning aerial photos with an A4 scanner
6.2 Interior orientation without camera parameters
6.3 Images from a digital camera
6.3.1 The situation
6.3.2 Interior and exterior orientation
6.3.3 Geometric problems
6.3.4 WM creation
6.3.5 Differential WM
6.4 An example of close-range photogrammetry
6.4.1 The situation
6.4.2 Interior and exterior orientation
6.4.3 Model definition
6.4.4 WM creation
6.5 A view into the future: Photogrammetry in 2020
7. Programme description.
7.1 Some definitions
7.2 Basic functions
7.3 Aims and limits of the programme
7.4 Operating the programme
7.5 Buttons in the graphics windows
7.6 File handling
7.6.1 File > Select project
7.6.2 File > Define project
7.6.3 File > Edit project
7.6.4 File > Import raster
7.6.5 File > Combination 7.6.6 File > Reference list
7.6.7 File > Control point editor
7.6.8 File > Import BINGO
7.7 Pre programmes
7.7.1 Pre programmes > Camera definition > Analogue
7.7.2 Pre programmes > Camera definition > Digital
7.7.3 Pre programmes > Strip definition
7.7.4 Pre programmes > Orientation > Measure > Interior orientation.
7.7.5 Pre programmes > Orientation > Measure > Exterior orientation
7.7.6 Pre programmes > Orientation > Measure > Pseudo camera def,
7.7.7 Pre programmes > Orientation > Measure > Raster
7.7.8 Pre programmes > Parameters of the exterior orientation
7.7.9 Pre programmes > Select model
7.7.10 Pre programmes > Define model
7.7.11 Pre programmes > Edit model
7.7.12 Pre programmes > Initial WM
7.7.13 Pre programmes > Compare nominal - real
7.8 Aerial triangulation measurement (A TM)
7.8.1 ATM > Manual measurement
7.8.2 ATM > Editor ATM points
7.8.3 ATM > Calculate strips
7.8.4 ATM > Measure connections
7.8.5 ATM > Automatic measurement
7.8.6 ATM > Import > IMATIE
7.8.7 ATM > Export > BLUH
7.8.8 ATM > Export > BINGO
7.8.9 ATM > Export > IMATIE
7.9 Aerial triangulation with BLUH
7.9.1 BLUH > Parameters
7.9.2 BLUH > BLOR, BLAPP, BLIM/BLUH
7.9.3 BLUH > Analysis
7.10 Processing
7.10.1 Processing > Mono measurement
7.10.2 Processing > Stereo measurement
7.10.3 Processing > Stereo correlation (matching)
7.10.4 Processing > WM interpolation
7.10.5 Processing > Ortho image
7.11 Display
7.11.1 Raster image
7.11.2 ASCII
AppendixNuméro de notice : 13178 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Manuel Accessibilité hors numérique : Non accessible via le SUDOC Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=46257 PermalinkSupport for visualisation and animation in a scalable 3D GIS Environment: motivation, concepts and implementation / Stephan Nebiker (2003)PermalinkPermalinkPermalinkExtraktion von Straßennetzen aus optischen Satellitenbilddaten / C. Wiedemann (2002)PermalinkClose range photogrammetry and machine vision / Keith B. Atkinson (2001)PermalinkEinfluss von Bildkompressionsverfahren auf die Qualität der digitalen Punktübertragung / Michael Kiefner (2001)PermalinkPermalinkGenauigkeitsuntersuchungen zur GPS/INS-Integration in der Aerophotogrammetrie / Michael Cramer (2001)PermalinkIntroduction to modern photogrammetry / E.M. Mikhail (2001)Permalink