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Robust multisource remote sensing image registration method based on scene shape similarity / Ming Hao in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 10 (October 2019)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 85 n° 10 (October 2019) . - pp 725 - 736 Titre : Robust multisource remote sensing image registration method based on scene shape similarity Type de document : Article/Communication Auteurs : Ming Hao, Auteur ; Jian Jin, Auteur ; Mengchao Zhou, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 725 - 736 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte [Termes IGN] appariement de modèles conceptuels de données [Termes IGN] coefficient de corrélation [Termes IGN] figuré du terrain [Termes IGN] image multibande [Termes IGN] image radar moirée [Termes IGN] niveau de gris (image) [Termes IGN] points homologues [Termes IGN] superposition d'images [Termes IGN] temps de pose [Termes IGN] transformation linéaire Résumé : (Auteur) Image registration is an indispensable component of remote sensing applications, such as disaster monitoring, change detection, and classification. Grayscale differences and geometric distortions often occur among multisource images due to their different imaging mechanisms, thus making it difficult to acquire feature points and match corresponding points. This article proposes a scene shape similarity feature (SSSF) descriptor based on scene shape features and shape context algorithms. A new similarity measure called SSSFncc is then defined by computing the normalized correlation coefficient of the SSSF descriptors between multisource remote sensing images. Furthermore, the tie points between the reference and the sensed image are extracted via a template matching strategy. A global consistency check method is then used to remove the mismatched tie points. Finally, a piecewise linear transform model is selected to rectify the remote sensing image. The proposed SSSFncc aims to extract the scene shape similarity between multisource images. The accuracy of the proposed SSSFncc is evaluated using five pairs of experimental images from optical, synthetic aperture radar, and map data. Registration results demonstrate that the SSSFncc similarity measure is robust enough for complex nonlinear grayscale differences among multisource remote sensing images. The proposed method achieves more reliable registration outcomes compared with other popular methods. Numéro de notice : A2019-521 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.85.10.725 Date de publication en ligne : 01/10/2019 En ligne : https://doi.org/10.14358/PERS.85.10.725 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93989 [article]

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105-2019101	SL	Revue	Centre de documentation	Revues en salle	Disponible

A geodesic map projection for quadrilaterals / J. Crider in Cartography and Geographic Information Science, vol 36 n° 2 (April 2009)  

Public [article]  inCartography and Geographic Information Science > vol 36 n° 2 (April 2009) . - pp 131 - 147 Titre : A geodesic map projection for quadrilaterals Type de document : Article/Communication Auteurs : J. Crider, Auteur Année de publication : 2009 Article en page(s) : pp 131 - 147 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Projections [Termes IGN] polygone [Termes IGN] projection [Termes IGN] transformation de coordonnées [Termes IGN] transformation linéaire Résumé : (Auteur) Part of a cuboctahedron-based geodesic map projection by Buckminster Fuller is expanded to spherical quadrilaterals with opposite sides equal. Points on such a quadrilateral can be described by intersections of geodesies, which provide parameterized coordinate values in a Geodesic Coordinate System. Through a linear transform of the geodesic coordinates, a spherical quadrilateral maps to a parallelogram. The resulting map has the same constant scale on all four sides. Within the map, all lines parallel to the sides correspond to geodesies on the globe. Spherical rectangles, spherical squares, and diamonds (spherical rhombi) are specifically examined; various tiling sets of diamonds can be used to cover the globe. Non-projection applications in geometry, astronomy, and computer graphics are described. Copyright CaGISociety Numéro de notice : A2009-163 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/POSITIONNEMENT Nature : Article DOI : 10.1559/152304009788188781 En ligne : https://doi.org/10.1559/152304009788188781 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29793 [article]

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032-09021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

On linear transformations of spatial data using the structured total least norm principle / Yaron Felus in Cartography and Geographic Information Science, vol 33 n° 3 (July 2006)  

Public [article]  inCartography and Geographic Information Science > vol 33 n° 3 (July 2006) . - pp 195 - 205 Titre : On linear transformations of spatial data using the structured total least norm principle Type de document : Article/Communication Auteurs : Yaron Felus, Auteur Année de publication : 2006 Article en page(s) : pp 195 - 205 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes de référence et réseaux [Termes IGN] coordonnées géographiques [Termes IGN] erreur de mesure [Termes IGN] itération [Termes IGN] système de coordonnées [Termes IGN] transformation de coordonnées [Termes IGN] transformation linéaire Résumé : (Auteur) Coordinate transformation is the process of converting spatial data from a source coordinate to a target coordinate system. A set of control points, measured in the two coordinate systems, is used to estimate the transformation parameters. In general, more control points are measured, and the over-determined system is adjusted using the least squares method. However, the standard least squares method assumes that errors exist only in the measurements made at one coordinate system, or at the observation vector (y). This is not the case in many physical systems where errors exist in all the measurements made in both the source coordinate and the target coordinate systems. The Structured Total Least Norm (STLN) method is a relatively new mathematical concept developed to solve estimation problems of so-called Error-In-Variables (EIV) models. The method is specifically suitable for dealing with transformation problems, since it can handle the special structure of the data matrix (A). The STLN method is uniquely used to compute the parameters of common linear coordinate transformations (affine and similarity). A numerical example is presented to demonstrate the superiority of this technique in terms of accuracy and to compare the standard LS method, the generalized LS algorithm, and the STLN approach. Copyright CaGISociety Numéro de notice : A2006-551 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1559/152304006779077273 En ligne : https://doi.org/10.1559/152304006779077273 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28274 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-06031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Introduction to modern photogrammetry / E.M. Mikhail (2001)

Public Titre : Introduction to modern photogrammetry Type de document : Guide/Manuel Auteurs : E.M. Mikhail, Auteur ; J. Bethel, Auteur ; J. Chris Mcglone, Auteur Editeur : New York, Londres, Hoboken (New Jersey), ... : John Wiley & Sons Année de publication : 2001 Importance : 478 p. Format : 20 x 24 cm + cederom ISBN/ISSN/EAN : 978-0-471-30924-6 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] aérotriangulation [Termes IGN] caméra numérique [Termes IGN] capteur actif [Termes IGN] compensation par bloc [Termes IGN] image multibande [Termes IGN] image numérique [Termes IGN] image radar [Termes IGN] instrument de photogrammétrie [Termes IGN] méthode des moindres carrés [Termes IGN] modèle stéréoscopique [Termes IGN] objet géographique linéaire [Termes IGN] orientation relative [Termes IGN] photogrammétrie métrologique [Termes IGN] radar à antenne synthétique [Termes IGN] spatiotriangulation [Termes IGN] système de coordonnées [Termes IGN] transformation de coordonnées [Termes IGN] transformation linéaire Index. décimale : 33.30 Photogrammétrie numérique Résumé : (Editeur) This text is designed to give students a strong grounding in the mathematical basis of photogrammetry while introducing them to the related fields, such as remote sensing and digital image processing, which are increasingly important to photogrammetric research and practice : Strong exposition of mathematical basis of photogrammetry - Introduction/overview to related fields in context of photogrammetry -Photogrammetric programs included with book - Photogrammetric website Links to general photogrammetric resources will be provided, including photogrammetric societies, academic institutions, photogrammetric equipment manufacturers, mapping and GIS companies and to image and map data sources. Note de contenu : Introductory Concepts Definitions Photogrammetric systems Photogrammetric Applications and Products Sources of Photogrammetric Information History References Elementary Photogrammetry Perspective Projection Scale and Coverage Vanishing Points Image Coordinate System Relief Displacement Parallax and Stereo Image Overlap Epipolar Planes and Lines Problems References Photogrammetric Sensing Systems The Physics of Remote Sensing - Electromagnetic Energy Optics Sensing Image Quality Imaging Geometries Image Motion Compensation Construction of a Frame Mapping Camera Camera Calibration Active Sensors Platforms for Photogrammetric Sensing Systems Problems References Mathematical Concepts in Photogrammetry Fundamentals of Perspective Geometry Coordinate Reference Frames Sensor Model (Interior Orientation) Platform Model (Exterior Orientation) Photogrammetric Conditions Satellite Imagery and Orbits Problems References Resection, Intersection, and Triangulation Introduction Image Coordinate Refinement Resection Single-Ray Back projection Intersection Relative Orientation Absolute Orientation Block Triangulation Block Adjustment with Added Parameters (Self-Calibration) Utilization of Navigational Data Numerical Aspects of Bundle Adjustment Evaluation of the Block Adjustment Problems References Digital Photogrammetry Digital Imagery Digital Image Processing Digital Image Resampling Digital Image Compression Digital Image Measurement Computer Vision Digital Image Simulation : Computer Graphics Problems References Photogrammetric Instruments Introduction Hardcopy-based Instruments Softcopy-based Systems Problems References Photogrammetric Products Hardcopy Photogrammetric Products Digital Photogrammetric Products Geographic Information Systems Three - Dimensional Products Product Accuracy Photogrammetric Project Planning Problems References Close-Range Photogrammetry Cameras for Close-Range Photogrammetry Instruments and Software for Close-Range Photogrammetry Mathematical Models for Close-Range Photogrammetry Image Coordinate Correction for Close-Range Photogrammetry Calibration Procedures for Close-Range Cameras Close-Range Photogrammetric Solutions : Network Design Applications of Close-Range Photogrammetry Other Forms of Close-Range Photogrammetry Problems References Analysis of Multispectral and Hyperspectral Image Data Introduction, Background, and History Statistical Pattern Recognition and Classification Feature Reduction and Spectral Transformations A Procedure for Analyzing Multispectral Data References Active Sensing Systems An Overview of Imaging Radar Radar Wavelengths and Frequencies Radar Imaging Fundamentals The Radar Equation Real-Aperture Radar SAR Processing SAR Geometry Model SAR Image Coordinates Calculation of Ground Coordinates Determining Heights from Layover and Shadow Measurement SAR Stereo Geometry Considerations Introduction to IFSAR The Emergence of SAR Imaging LIDAR Problems References Appendix A Mathematics for Photogrammetry Coordinate Systems Vector Algebra Matrix Algebra Linear Transformations Nonlinear Transformations Linearization of Nonlinear Functions Map Projections Appendix B Least Squares Adjustment Introduction Mathematical Model for Adjustment The Least Squares Criterion The Techniques of Least Squares Adjustment of Indirect Observations Adjustment of Observations and Parameters Adjustment with Functional Constraints Inner Constraints Unified Least Squares Adjustment Assessment of Adjustment Results References Appendix C Linearization of Photogrammetric Condition Equations Nonlinear Conditions Linearization of the Projectivity Equations Linearization of the Collinearity Equations Linearization of the Coplanarity Equation Linearization of the Scale Restraint Equation Linearization using Numerical Differentiation Appendix D Mathematical Description of Linear Features Introduction Straight Lines in Two-Dimensional Space Straight Lines in Three-Dimensional Space Circular Lines in Two-Dimensional Space Circular Lines in Three-Dimensional Space Geometric Constraints among Straight Lines Geometric Constraints among Circles Constraints between Straight Lines and Circles References Appendix E Further Consideration of the Rotation Matrix Alternative Method for Rotation Parameter Estimation Quaternion Representation of a Rotation Matrix References Appendix F Orbital Photogrammetry Mechanics Review Coordinate Systems and Orbit Descriptors References Appendix G Software for Photogrammetric Applications Programs and Data World Wide Web Sites of Interest for Photogrammetry References Index Numéro de notice : 13022 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Manuel Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=46239

Caricature des virages par lissage de la courbure / Emmanuel Fritsch (1997)

Public contenu dans Journées recherche [du] COGIT, SIG et Généralisation / COGIT (1988 - 2016) (1997) Titre : Caricature des virages par lissage de la courbure Type de document : Article/Communication Auteurs : Emmanuel Fritsch , Auteur Editeur : Paris : Institut Géographique National - IGN (1940-2007) Année de publication : 1997 Conférence : Journées Recherche de l'IGN 1997 11/03/1997 13/03/1997 Champs-sur-Marne France Importance : pp 10 - 20 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] exagération de forme [Termes IGN] généralisation cartographique automatisée [Termes IGN] lissage de courbe [Termes IGN] objet géographique linéaire [Termes IGN] recalage de données localisées [Termes IGN] similitude [Termes IGN] transformation linéaire [Termes IGN] virage Résumé : (Auteur) L'un des problèmes soulevés par l'automatisation de la généralisation cartographique porte sur l'automatisation du linéaire routier. Cet article s'intéresse au problème de la caricature des virages trop serrés et analyse dans quelle mesure une série d'algorithmes basés sur le lissage gaussien peut alors être efficace. Enfin, cet article s'intéresse à plusieurs méthodes de recalage de courbe. Numéro de notice : C1997-057 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65716

Digitale Komponenten von Fernerkundung, Photogrammetrie und Kartographie innerhalb der Geoinformatik sowie deren Beschreibung durch funktionsanalytische Mittel und Methoden / E. Pross (1993)

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On the duality of relative orientation / T.Y. Shih in Photogrammetric Engineering & Remote Sensing, PERS, vol 56 n° 9 (september 1990)  

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Effet de la résolution spatiale sur des propriétés statistiques des images satellites : une étude de cas / K. Xiang Ning in International Journal of Remote Sensing IJRS, vol 9 n° 8 (August 1988)  

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Aircraft MSS data registration and vegetation classification for wetland change detection / E.J. Christensen in International Journal of Remote Sensing IJRS, vol 9 n° 1 (January 1988)  

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Space resection, a comparative study of functional models / W. Faig (04/10/1987)

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Map distortions and singular value decomposition / P.H. Laskowski (29/03/1987)

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Complete comparator calibration / Lawrence W. Fritz (1973)

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Niveau und Maßstab des vorläufigen Europäischen Gravimeternetzes (Morelli-Martin-Netz 1956) / Max Kneissl (1956)

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