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Photogrammetric and Lidar data registration using linear features / A. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 6 (June 2005)
[article]
Titre : Photogrammetric and Lidar data registration using linear features Type de document : Article/Communication Auteurs : A. Habib, Auteur ; M. Ghanma, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 699 - 707 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] cohérence des données
[Termes IGN] compensation par faisceaux
[Termes IGN] détection de changement
[Termes IGN] données lidar
[Termes IGN] données multicapteurs
[Termes IGN] espace objet
[Termes IGN] ligne caractéristique
[Termes IGN] méthode robuste
[Termes IGN] modélisation 3D
[Termes IGN] objet géographique linéaire
[Termes IGN] reconstruction 3D
[Termes IGN] superposition de données
[Termes IGN] système de référence localRésumé : (Auteur) The enormous increase in the volume of datasets acquired by lidar systems is leading towards their extensive exploitation in a variety of applications, such as, surface reconstruction, city modeling, and generation of perspective views. Though being a fairly new technology, lidar has been influenced by and had a significant impact on photogrammetry. Such an influence or impact can be attributed to the complementary nature of the information provided by the two systems. For example, photogrammetric processing of imagery produces accurate information regarding object space break lines (discontinuities). On the other hand, lidar provides accurate information describing homogeneous physical surfaces. Hence, it proves logical to combine data from the two sensors to arrive at a more robust and complete reconstruction of 3D objects. This paper introduces alternative approaches for the registration of data captured by photogrammetric and lidar systems to a common reference frame. The first approach incorporates lidar features as control for establishing the datum in the photogrammetric bundle adjustment. The second approach starts by manipulating the photogrammetric imagery to produce a 3D model, including a set of linear features along object space discontinuities, relative to an arbitrarily chosen coordinate system. Afterwards, conjugate photogrammetric and lidar straightline features are used to establish the transformation between the arbitrarily chosen photogrammetric coordinate system and the lidar reference frame. The second approach (bundle adjustment, followed by similarity transformation) is general enough to be applied for the co-registration of multiple three-dimensional datasets regardless of their origin (e.g., adjacent lidar strips, surfaces in Gis databases, and temporal elevation data). The registration procedure would allow for the identification of inconsistencies between the surfaces in question. Such inconsistencies might arise from changes taking place within the object space or inaccurate calibration of the internal characteristics of the lidar and the photogrammetric systems. Therefore, the proposed methodology is useful for change detection and system calibration applications. Experimental results from aerial and terrestrial datasets proved the feasibility of the suggested methodologies. Numéro de notice : A2005-219 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.71.6.699 En ligne : https://doi.org/10.14358/PERS.71.6.699 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27356
in Photogrammetric Engineering & Remote Sensing, PERS > vol 71 n° 6 (June 2005) . - pp 699 - 707[article]Classifying depth-layered geological structures on Landsat TM images by gravity data: a case study of the western slope of Songliao Basin, northeast China / Shuli Chen in International Journal of Remote Sensing IJRS, vol 26 n° 2 (January 2005)
[article]
Titre : Classifying depth-layered geological structures on Landsat TM images by gravity data: a case study of the western slope of Songliao Basin, northeast China Type de document : Article/Communication Auteurs : Shuli Chen, Auteur ; Y. Zhou, Auteur Année de publication : 2005 Article en page(s) : pp 2741 - 2754 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Chine
[Termes IGN] déconvolution
[Termes IGN] géologie locale
[Termes IGN] géologie structurale
[Termes IGN] image Landsat-TM
[Termes IGN] levé gravimétrique
[Termes IGN] linéament
[Termes IGN] structure géologique
[Termes IGN] superposition de données
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Geological structures on remotely sensed images, Landsat Thematic Mapper (TM) images in this case, can be classified by quantitative depth information on the basis of the comparison of results from Landsat TM images and geophysical data. Although the lineaments with different depths can be visually interpreted together on Landsat TM images, the depth information and geological significance of these lineaments are however hard to obtain solely from the Landsat TM images of a study area under a thick cover, and it is of much importance for hydrocarbon exploration in the Western Slope Belt of Songliao Basin, northeast China. During the present study, the 3-dimensional field source information, including location and depth information, is derived from 3dimensional Euler deconvolution of gravity data in particular. As an example, it may be quantitatively classified into four groups of depth range: 1000m. It is then superimposed onto the lineaments map from Landsat TM images using a geographical information system (GIS). With a comprehensive analysis of the superimposed maps, we obtain validation and quantitative depth information of the geological structures delineated on the Landsat TM images. Four depth-layered maps of geological structures with different depths are presented here. It is concluded that the number of structures with depth greater than 1000 m on the Landsat TM images is fewer than those at the other three depth ranges. The detection of geological structures on Landsat TM images attributed to depth information derived from the geophysical data may also be possible by this approach. Numéro de notice : A2005-343 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500104210 En ligne : https://doi.org/10.1080/01431160500104210 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27479
in International Journal of Remote Sensing IJRS > vol 26 n° 2 (January 2005) . - pp 2741 - 2754[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-05021 RAB Revue Centre de documentation En réserve L003 Disponible A region-based method for graph to image registration with an application to cadastre data / Roger Trias-Sanz (2005)
Titre : A region-based method for graph to image registration with an application to cadastre data Type de document : Article/Communication Auteurs : Roger Trias-Sanz , Auteur ; Marc Pierrot-Deseilligny , Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2005 Conférence : ICIP 2004, 11th IEEE International Conference on Image Processing 24/10/2004 27/10/2004 Singapour Singapour Proceedings IEEE Importance : pp 1703 - 1706 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] appariement de données localisées
[Termes IGN] contour
[Termes IGN] données cadastrales
[Termes IGN] image aérienne
[Termes IGN] segmentation en régions
[Termes IGN] superposition de donnéesRésumé : (auteur) Cadastre data can give useful information in certain land use analysis procedures, but these data must he registered to the terrain image. The mis-registration to he corrected is not only due to geometrical deformation or acquisition errors, but also to land use not always following cadastre divisions. We present two variants of a novel region-based graph matching algorithm which can he used to register a cadastre onto an aerial image. We represent a segmentation of the image as a weighted graph. Its faces are mapped to faces in the cadastre graph, and an optimal mapping is found. We also obtain an indicator of which cadastre edges actually exist in the image. This region-based method strictly follows image edges, but does not always preserve the spatial distribution of the cadastre graph. Numéro de notice : C2004-031 Affiliation des auteurs : MATIS (1993-2011) Thématique : GEOMATIQUE/IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/ICIP.2004.1421400 En ligne : https://doi.org/10.1109/ICIP.2004.1421400 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99877 Evaluation de la qualité des données généralisées / Sébastien Cochard (2000)
Titre : Evaluation de la qualité des données généralisées Type de document : Mémoire Auteurs : Sébastien Cochard, Auteur Editeur : Dunkerque : Université du Littoral-Côte-d'Opale Année de publication : 2000 Importance : 41 p. Format : 21 x 30 cm Note générale : DESS Ingénierie Mathématique et Traitement du Signal Langues : Français (fre) Descripteur : [Termes IGN] bati
[Termes IGN] estimation de précision
[Termes IGN] généralisation automatique de données
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] Lamps2
[Termes IGN] meso échelle
[Termes IGN] qualité cartographique
[Termes IGN] qualité de généralisation
[Termes IGN] qualité des données
[Termes IGN] superposition de données
[Vedettes matières IGN] GénéralisationIndex. décimale : DESS Divers DESS et masters actuels professionnels ou spécialisés Résumé : (auteur) [introduction] Le laboratoire COGIT dans lequel a lieu mon stage, s'intéresse à l'évaluation de la qualité des données généralisées puis qu'après la mise au point d'algorithmes et de processus de généralisation, il faut être capable d'évaluer numériquement le travail des ordinateurs afin de valider le produit obtenu et d'informer les utilisateurs sur son niveau de qualité. Mon travail consiste à mettre au point des techniques permettant d'évaluer automatiquement la qualité de la généralisation sur les bâtiments. Ce processus automatique d'évaluation est nécessaire puisque c'est la seule méthode, en dehors d'une constatation visuelle, qui permette de vérifier la conformité du produit final. Ces outils automatiques d'évaluation doivent permettre de qualifier les données de façon interprétable par un utilisateur. Cette qualification est indispensable lors de la lecture, surtout si on ne dispose pas conjointement des données initiales. Mais ces techniques peuvent également être utilisées pour détecter les problèmes et améliorer les données (reprise interactive) et le processus de généralisation (par une analyse des problèmes constants). Dans ces deux derniers cas, une analyse plus fine (de manière visuelle) sera nécessaire. Néanmoins, lorsque nous disposerons d'outils d'évaluation performants, le contrôle visuel sera obligatoire. S'il est moins précis de manière globale, car non chiffré, il reste le meilleur moyen pour détecter des zones où des erreurs de généralisation se seront produites malgré une évaluation correcte. Note de contenu : Introduction
1- Présentation de l'IGN
2- Contexte du stage
3- Critères d'évaluation de la qualité des données généralisées
4- Mesures codées
ConclusionNuméro de notice : 21929 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Mémoire DESS divers Organisme de stage : COGIT (IGN) Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91635 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 21929-01 DESS Livre Centre de documentation En réserve Mezzanine Disponible Exploring Geographic Information Systems / Nicholas Chrisman (1997)
Titre : Exploring Geographic Information Systems Type de document : Guide/Manuel Auteurs : Nicholas Chrisman, Auteur Editeur : New York, Londres, Hoboken (New Jersey), ... : John Wiley & Sons Année de publication : 1997 Importance : 298 p. Format : 19 x 23 cm ISBN/ISSN/EAN : 978-0-471-10842-9 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] analyse fonctionnelle (produit)
[Termes IGN] analyse multicritère
[Termes IGN] analyse spatiale
[Termes IGN] détection de changement
[Termes IGN] diagramme de Voronoï
[Termes IGN] isoligne
[Termes IGN] manipulation de données
[Termes IGN] modèle de représentation des données
[Termes IGN] modèle logique de données
[Termes IGN] modèle numérique de terrain
[Termes IGN] pente
[Termes IGN] qualité des données
[Termes IGN] relation topologique
[Termes IGN] superposition de données
[Termes IGN] système d'information géographique
[Termes IGN] système de référence géodésique
[Termes IGN] Triangulated Irregular NetworkNote de contenu : PART 1 : BUILDING BLOCKS OF GEOGRAPHIC INFORMATION
Chapter 1 : Measurement Basics
-Development of Geographic Information: The Convergence of Many Technologies
-Defining a Geographic Information System
-Basic Components of Geographic Information
-Measurement: The Conventional View
--Background: Development of Measurement Theory
--Levels of Measurement
Nominal
Ordinal
Interval
Ratio
Extensive and Derived Scales
What is Missing from Stevens
-Reference Systems
--Temporal Reference Systems
--Spatial Reference Systems
--Attribute Reference Systems
Chapter 2 : Measurement Frameworks
Example of a Simple Measurement Framework: The Geographical Matrix
Control and Measurement
Attribute as Control: Isolated Objects to Connected Coverages
Isolated Object Framework
Spatial Object Framework
Isoline Framework
Connected Coverage Frameworks and Topological Relationships
Network Framework
Categorical Coverage Framework
Spatial Control
Pointbased frameworks
Center Point Framework
Systematic Unaligned
Areabased Measurement Frameworks
Extrerne Value
Total
Predominant Type
Presencelabsence and Percent Cover
Precedence of Types
Relationship Control
Measurement by Pair
Triangulated Irregular Networks (TIN)
Composite Frameworks
Associating AttributesIndirect Measurement
Choropleth Framework
Temporal Frameworks
Summary
Chapter 3 : Representation
Primitives for Representation
Primitives for Attributes
Primitives for Space: Coordinates
Representation Models and Data Structures
Vector Model
Representing Isolated Objects
Representing Topological Objects
Raster Model
Conversion of Existing Documents (Digitizing)
Vector Tracing
Raster Scanners
Transforming Digitizer Measurements into Coordinates
Registration on Device
Transformations from Document to Projection
Reference to Geodetic Surveys
Data Quality: Closing the Loop
Verification and Quality Control
After Digitizing
Generalization and Scalechanging
Attaching Attributes by Geocoding
Temporal Updates and Changes
Summary
PART 2 : TRANSFORMATIONS AND OPERATIONS
Chapter 4 : Attributebased Operations
Manipulating Attributes
Reducing the Information content
Group
Isolate
Classify
Scale
Increasing the Information Content
Rank
Evaluate
Rescale
Combining Pairs of Input Values
Crosstabulate
Sum and Difference
Rate and Density
Proportion
Performing Combinations
Interaction of Attribute and Spatial Components
Spatial Consequences of Aggregation and Isolation
Cartographic Generalization
Summary
Chapter 5 : Overlay: Integration of Disparate Sources
Development of Map Overlay
The Overlay Operation
Registration: A Universal Requirement
Raster Implementations of Overlay
Vector Implementations of Overlay
Geometric Intersection Processing
Attribute Handling Using Results of Overlay
Comparisons of Performance and Capabilities
Overlay for Detecting Differences
Change Detection
Accuracy Testing
Interpreting Overlay Results
A Taxonomy of Overlay Combinations
Dominance Rules
Exclusionary Screening
Exclusionary Ranking
Highest Bid/Highest Bidder
Contributory Rules
Voting Tabulation
Weighted Voting
Linear Combination
Weighting and Rating
Nonlinear Combinations
Interaction Rules
Integrated Survey
Factor Combination
Rules of Combination
Summary of Rules
Summary
Chapter 6 : Distance Transformations
Examples of Distance Specifications
Exclusionary Zones Around Features: Buffers and Setbacks
Beyond Buffers and Setbacks
Distance measurement
Distance Relationships
Constructing Buffers with Vector Data
Measuring Distance in a Raster
Comparison
Generalized Voronoi Diagrams
Data Quality Aspects of Distance Relationships
Summary
Chapter 7 : Surfaces and Near Neighbors
Surfaces
Topology of Surfaces
Computing Relationships on a Surface
Slope from Triangles
Slope from Matrices
Neighborhood Operations: The Spatial Component
Neighborhood Construction
Raster Neighbors
Vector Neighbors
Edge Effects
Refinements of Neighborhoods
Combining Neighborhood Attributes: A Taxonomy
Nominal Attributes
Dominance Rules
Contributory Rules
Interaction Rules
Operations Based on Ranking Attributes
Continuous Attributes
A spatial Treatment of Continuous Attributes in a Neighborhood
Continuous Attributes with Horizontal Measures
Data Quality Applications of Neighborhood Operations
Summary
Chapter 8 : Comprehensive Operations
Iterative Operations
Viewshed
Cost Accumulation
An Example of Cost Surface Construction: A Water Pipeline
Drainage Operations
Network Operations
LocationAllocation Problems: A Family of Problems with
a Common Approach
Tougher Problems
Statistical Modeling of Spatial Data
Chapter 9 : Transformations
Prior Approaches to Transformations
Transformations for Surfaces
Interpolation
Interpolation from Scattered points
Interpolation from Isolines
Interpolation from a DEM
To and From Triangles
Network Information and Surfaces
Summary of Surface Transformations
A Taxonomy for Transformations
Transformation by Extraction (Case )
Transformations based on Attribute Assumptions (Case A)
Classification of Remotely Sensed Imagery
Transformations based on Geometric Processing Only (Case IN)
Complete Transformations (Case )
Areal Interpolation
Examples of Transformations
Dasymetric Mapping of Population Density
Wetland Regulation and Wasteland Assessment in Westport, Wisconsin (Area Crosstabulation)
Forest Mapping for the United States (Resampling and Conversion of Imagery)
Summary of Transformations
PART 3 : THE BROADER CONTEXT
Chapter 10 : Evaluation and Implementation
Technical Evaluation
Data Quality Assessment
Measurement Frameworks and Accuracy
Strategy for Testing
Allocation of Resources
Computer Resources
Financial Resources
Human Resources
Implementing a GIS
Needs Assessment
Requirements Analysis
Database Design
Approaches to Geographic Measurement
Bidding Process
Construction
Serving Larger Goals
Chapter 11 : Social and Institutional Context
Technological Change in Historical Context
Geography of Geographic Information
Geographic Information in the Bureaucracy
Institutional Continuity
Institutional Definitions of Time and History
Cooperation and Coordination
Information in its Social Context
Equity
Access to Information
Balancing Competing Concerns
Information and Culture
Culture: Continuity and Change
The Practice of GIS
Summary
BibliographyNuméro de notice : 67492 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Manuel de cours Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=49138 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 67492-01 37.30 Livre Centre de documentation Géomatique Disponible GéO2 : module de superposition / Guylaine Schorter (1994)Permalink