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Geolocation error tracking of ZY-3 three line cameras / Hongbo Pan in ISPRS Journal of photogrammetry and remote sensing, vol 123 (January 2017)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 123 (January 2017) . - pp 62 - 74 Titre : Geolocation error tracking of ZY-3 three line cameras Type de document : Article/Communication Auteurs : Hongbo Pan, Auteur Année de publication : 2017 Article en page(s) : pp 62 - 74 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] direction de visée [Termes IGN] erreur géométrique [Termes IGN] géolocalisation [Termes IGN] géométrie épipolaire [Termes IGN] image à très haute résolution [Termes IGN] image ZiYuan-3 [Termes IGN] modèle stéréoscopique [Termes IGN] point d'appui [Termes IGN] three line cameras Résumé : (Auteur) The high-accuracy geolocation of high-resolution satellite images (HRSIs) is a key issue for mapping and integrating multi-temporal, multi-sensor images. In this manuscript, we propose a new geometric frame for analysing the geometric error of a stereo HRSI, in which the geolocation error can be divided into three parts: the epipolar direction, cross base direction, and height direction. With this frame, we proved that the height error of three line cameras (TLCs) is independent of nadir images, and that the terrain effect has a limited impact on the geolocation errors. For ZY-3 error sources, the drift error in both the pitch and roll angle and its influence on the geolocation accuracy are analysed. Epipolar and common tie-point constraints are proposed to study the bundle adjustment of HRSIs. Epipolar constraints explain that the relative orientation can reduce the number of compensation parameters in the cross base direction and have a limited impact on the height accuracy. The common tie points adjust the pitch-angle errors to be consistent with each other for TLCs. Therefore, free-net bundle adjustment of a single strip cannot significantly improve the geolocation accuracy. Furthermore, the epipolar and common tie-point constraints cause the error to propagate into the adjacent strip when multiple strips are involved in the bundle adjustment, which results in the same attitude uncertainty throughout the whole block. Two adjacent strips—Orbit 305 and Orbit 381, covering 7 and 12 standard scenes separately—and 308 ground control points (GCPs) were used for the experiments. The experiments validate the aforementioned theory. The planimetric and height root mean square errors were 2.09 and 1.28 m, respectively, when two GCPs were settled at the beginning and end of the block. Numéro de notice : A2017-008 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.11.007 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2016.11.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83909 [article]

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081-2017013	DEP-EXM	Revue	LASTIG	Dépôt en unité	Exclu du prêt
081-2017012	DEP-EAF	Revue	Nancy	Dépôt en unité	Exclu du prêt

Midrange geometric interactions for semantic segmentation / Julia Diebold in International journal of computer vision, vol 117 n° 3 (May 2016)  

Public [article]  inInternational journal of computer vision > vol 117 n° 3 (May 2016) . - pp 199 - 225 Titre : Midrange geometric interactions for semantic segmentation Type de document : Article/Communication Auteurs : Julia Diebold, Auteur ; Claudia Nieuwenhuis, Auteur ; Daniel Cremers, Auteur Année de publication : 2016 Article en page(s) : pp 199 - 225 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] contrainte géométrique [Termes IGN] direction de visée [Termes IGN] segmentation d'image [Termes IGN] valeur moyenne Résumé : (Auteur) In this article we introduce the concept of midrange geometric constraints into semantic segmentation. We call these constraints ‘midrange’ since they are neither global constraints, which take into account all pixels without any spatial limitation, nor are they local constraints, which only regard single pixels or pairwise relations. Instead, the proposed constraints allow to discourage the occurrence of labels in the vicinity of each other, e.g., ‘wolf’ and ‘sheep’. ‘Vicinity’ encompasses spatial distance as well as specific spatial directions simultaneously, e.g., ‘plates’ are found directly above ‘tables’, but do not fly over them. It is up to the user to specifically define the spatial extent of the constraint between each two labels. Such constraints are not only interesting for scene segmentation, but also for part-based articulated or rigid objects. The reason is that object parts such as for example arms, torso and legs usually obey specific spatial rules, which are among the few things that remain valid for articulated objects over many images and which can be expressed in terms of the proposed midrange constraints, i.e. closeness and/or direction. We show, how midrange geometric constraints are formulated within a continuous multi-label optimization framework, and we give a convex relaxation, which allows us to find globally optimal solutions of the relaxed problem independent of the initialization. Numéro de notice : A2016--140 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007%2Fs11263-015-0828-7 En ligne : https://doi.org/10.1007/s11263-015-0828-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85868 [article]

Caractérisation des directions de visée / Roland Gachet in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 159 (Juillet 2000)

Public [article]  inBulletin [Société Française de Photogrammétrie et Télédétection] > n° 159 (Juillet 2000) . - pp 73 - 79 Titre : Caractérisation des directions de visée Type de document : Article/Communication Auteurs : Roland Gachet, Auteur Année de publication : 2000 Conférence : Seminar 1999, In-orbit geometric characterization of optical imaging systems, Séminaire Caractérisation géométrique en vol des systèmes imageurs optiques 02/11/1999 05/11/1999 Bordeaux France Article en page(s) : pp 73 - 79 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] capteur en peigne [Termes IGN] caractérisation [Termes IGN] direction de visée [Termes IGN] image SPOT-HRVIR Résumé : (Auteur) Dans le cadre de son travail d'expertise en qualité géométrique des images spatiales, le CNES a mis au point et expérimenté une variété de méthodes pour la détermination des imperfections sub pixellaires des directions de visée des instruments optiques de type pushbroon. Ces méthodes s'appuient en particulier sur les progrès réalisés dans les mesures de faibles décalages entre images. Elles utilisent ou bien des mesures relatives (entre images acquises par deux instruments optiques de micro géométrie inconnue) ou bien des mesures absolues, par rapport à une référence bien maîtrisée en géométrie. Les résultats fournis par les différentes méthodes semblent prometteurs, bien que certaines observations n'aient pas encore été bien interprétées. Numéro de notice : A2000-296 Affiliation des auteurs : IGN (1940-2011) Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89982 [article]

Exemplaires(1)

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Development of models for monitoring the urban environment using radar remote sensing / Catherine Ticehurst (1998)

Public Titre : Development of models for monitoring the urban environment using radar remote sensing Type de document : Monographie Auteurs : Catherine Ticehurst, Auteur Editeur : Kensington [Australie] : University of New South Wales Année de publication : 1998 Collection : Reports from School of Geomatic Engineering num. S-54 Importance : 250 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-0-7334-1679-8 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] densité de population [Termes IGN] direction de visée [Termes IGN] image aérienne [Termes IGN] image AIRSAR [Termes IGN] image radar [Termes IGN] milieu urbain [Termes IGN] occupation du sol [Termes IGN] polarisation [Termes IGN] population urbaine [Termes IGN] radar à antenne synthétique [Termes IGN] rétrodiffusion [Termes IGN] simulation [Termes IGN] surveillance de l'urbanisation [Termes IGN] télédétection en hyperfréquence Résumé : (Auteur) The world's population is rapidly increasing, especially in urban regions to which many rural inhabitants are migrating. Such an effect results in the need for a more efficient method of monitoring cities, both in developing and developed countries. Present monitoring techniques are inefficient, and unable to effectively maintain up-to date information due to the population increase. Hence, the demand for settlement detection, urban classification and population estimation is apparent. Radar remote sensing is showing great potential for assisting in such a matter. Its ability to discriminate between small buildings of sparse layout, and large, densely spaced, buildings is slowly being realised. This research addresses this issue through the development of a primarily theoretical model. The urban environment is a complex mixture of built as well as natural elements. In order to simplify such a difficult situation, the backscatter expected from urban areas can be divided into simple scattering mechanisms. The most important ones chosen for this research are double bounce (from building walls and tree trunks), single bounce (from building roofs), and volume scattering (from tree canopies). The model has been designed to consider these scattering mechanisms, and their expected proportions, occurring in the urban environment. One of the greatest difficulties created through using radar in the built environment, is due to the 'Cardinal Effect'. This occurs when there is strong double bounce scattering due to the intersection of the orthogonal building wall and ground surface being perpendicular to the look direction. An empirical investigation is conducted in the thesis to further understand this phenomenon. In order to develop the model, many parameters, including those relating to the cardinal effect, need to be considered. Determination of such parameters is not a simple task, and requires some general assumptions to be made. The model has been designed to determine the backscatter and polarisation information for two different urban classes (ie., residential and commercial). These classes are chosen because they generally represent the low and high density urban areas respectively. The backscatter and polarisation information from a single building is developed and then expanded into a block of buildings, with consideration of radar shadowing effects. Trees are also included in the simulated residential areas. In order to test the accuracy of the model for residential and commercial land use, test sites representing a large range of orientation and look angles, are chosen in the city of Sydney, Australia. AirSAR data for these test sites are compared to model simulations representing the same characteristics. The results show that L-band model output is quite comparable with the real data. The P-and C-band are less reliable, with the model C-band results showing little resemblance to the AirSAR information. For the model to be further tested, a simple classification is performed over a large area of the Eastern suburbs of Sydney. L-band data is used due to the model simulations closely represerding real data. Furthermore, the real P-, L- and C-band polarisation information were found to be quite similar, so a multiwavelength classification using radar data was not seen to contribute significant information compared to a single band. The classification is based on a comparison between the model and AirSAR total power, polarisation index and polarisation phase difference. The classification shows that the model has the ability to distinguish between low and high density urbw areas. However, due to the difficulties in defining the characteristics of residential and commercial land uses, there is some overlap in the classification. Some tall, dense residential areas are classified as commercial. Similarly small scale commercial areas are classified to be residential. Such a problem is related to the definition of land use rather than land cover. The most important classification parameter observed through this exercise is the total power. The polarisation index proved of little use due to its incapability of distinguishing between residential and commercial classes for the real data. Classification using the total power and polarisation phase difference together gave a less accurate result than total power alone. However, overall results show that the potential which radar has as a remote sensing tool for distinguishing between low and high density urban areas, and for classification (under the appropriate circumstances), is quite high. This is especially so when radar is combined with other information gathering systems, such as optical remotely sensed data. Such a combination could be very beneficial for the growing need for urban monitoring and population estimation. Numéro de notice : 67410 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=61751

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Introduction to remote sensing / J.B. Campbell (1996)

Public Titre : Introduction to remote sensing Type de document : Monographie Auteurs : J.B. Campbell, Auteur Mention d'édition : 2 Editeur : Londres : Taylor & Francis Année de publication : 1996 Importance : 622 p. Format : 16 x 23 cm ISBN/ISSN/EAN : 978-0-7484-0663-0 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection [Termes IGN] acquisition d'images [Termes IGN] analyse d'image numérique [Termes IGN] angle de visée [Termes IGN] classification [Termes IGN] direction de visée [Termes IGN] données numériques [Termes IGN] groupe [Termes IGN] historique [Termes IGN] hydrographie [Termes IGN] hyperfréquence [Termes IGN] limite de résolution géométrique [Termes IGN] limite de résolution radiométrique [Termes IGN] multispectral scanner [Termes IGN] occupation du sol [Termes IGN] photo-interprétation [Termes IGN] photographie aérienne [Termes IGN] photographie aérienne à axe vertical [Termes IGN] photographie infrarouge [Termes IGN] photographie infrarouge couleur [Termes IGN] précision [Termes IGN] radar [Termes IGN] radar à antenne réelle [Termes IGN] rayonnement électromagnétique [Termes IGN] restauration d'image [Termes IGN] satellite d'observation de la Terre [Termes IGN] système d'information géographique [Termes IGN] télédétection aérienne [Termes IGN] télédétection électromagnétique [Termes IGN] terrain nominal [Termes IGN] thermographie satellitaire [Termes IGN] traitement d'image [Termes IGN] traitement du signal Index. décimale : 35.00 Télédétection - généralités Résumé : (Editeur) This comprehensive introductory text presents an up-to-date overview of the most widely used forms of remote sensing imagery and their applications in plant sciences, hydrology, earth sciences, and land use analysis. Completely revised and updated, the second edition includes up-to-date coverage of the recently declassified CORONA imagery and other topics of current significance, and new chapters on hyperspectral remote sensing and global remote sensing. In addition, there is now a chapter on digital remote sensing featuring an essential discussion of the use of the Internet in remote sensing and including a list of relevant World Wide Web. Ideal for both undergraduate and graduate use, the volume is designed to enable instructors to select and alter the sequence of chapters to meet the requirements of their courses. Note de contenu : 1 History and Scope of Remote Sensing Introduction Definitions Milestones in the History of Remote Sensing Overview of the Remote Sensing Process A Specific Example Key Concepts of Remote Sensing Career Preparation and Professional Development Review Questions References 2 Electromagnetic Radiation Introduction The Electromagnetic Spectrum Major Divisions of the Electromagnetic Spectrum Radiation Laws Interactions with the Atmosphere Interactions with Surfaces Summary: Three Models for Remote Sensing Review Questions References PART 1. IMAGE ACQUISITION 3 Photographic Sensors Introduction The Aerial Camera Kinds of Aerial Cameras BlackandWhite Aerial Films Color Reversal Films Color Infrared Films Film Format and Annotation Geometry of the Vertical Aerial Photograph Coverage by Multiple Photographs Photogrammetry Digital Photography Softcopy Photogrammetry Sources of Aerial Photography Summary Review Questions References Your Own Infrared Photographs Your Own 3 D Photographs 4. Digital Data Electronic Imagery Digital Data Data Formats Equipment for Digital Analysis Image Processing Software The Internet An Overview of the Image Analysis Process Summary Review Questions References 5. Image Interpretation Introduction The Context for Image Interpretation Image Interpretation Tasks Elements of Image Interpretation Image Interpretation Strategies Collateral Information Imagery Interpretability Rating Scales Image Interpretation Keys Interpretive Overlays Photomorphic Regions Image Interpretation Equipment Preparation for Interpretation Use of the Pocket Stereoscope Image Scale Calculations Reporting Results of an Interpretation Interpretation of Digital Imagery Summary Review Questions References 6. Land Observation Satellites Satellite Remote Sensing Landsat Origins Satellite Orbits The Landsat System MSS Images Landsat Thematic Mapper Administration of the Landsat Program SPOT India Remote Sensing Computer Searches Microsatellites CORONA Summary Review Questions References 7 Active Microwave Introduction Geometry of the Radar Image Wavelength Penetration of the Radar Signal Polarization Look Direction and Look Angle Real Aperture Systems Synthetic Aperture Systems Interpreting Brightness Values Satellite Imaging Radars Summary Review Questions References Project RADAM 8 Thermal Radiation Introduction Thermal Detectors Thermal Radiometry Microwave Radiometers Thermal Scanners Thermal Properties of objects Geometry of Thermal Images The Thermal Image and Its Interpretation Heat Capacity Mapping Mission MSS and TM Thermal Data Summary Review Questions References 9. Image Resolution Introduction and Definitions Target Variables System Variables Operating Conditions Measurement of Resolution Mixed Pixels Spatial and Radiometric Resolution: A Simple Example Interactions with Landscapes Summary Review Questions References PART 11. ANALYSIS 10. Preprocessing Introduction Feature Extraction Subsets Radiometric Preprocessing Image Matching Geometric Correction by Resampling Map Projections for Representing Satellite Images and Ground Tracks Effects of Preprocessing Summary Review Questions References 11. Image Classification Introduction Informational Classes and Spectral Classes Unsupervised Classification Supervised Classification Textural Classifiers Ancillary Data Layered Classification Fuzzy Clustering Artificial Neural Networks Contextual Classification Relative Accuracy of Classification Procedures Summary Review Questions References 12. Field Data Introduction Kinds of Field Data Nominal Data Documentation of Nominal Data Biophysical Data Field Radiometry Locational Information Using Locational Information Geographic Sampling Summary Review Questions References 13. Accuracy Assessment Definition and Significance Sources of Classification Error Error Characteristics Measurement of Map Accuracy Interpretation of the Error Matrix Summary Review Questions References 14 Remote Sensing Introduction Spectroscopy Hyperspectral Rernote Sensing AVIRIS The Image Cube Data Libraries Spectral Matching Spectral Mixing Analysis Analyses Summary Review Questions References PART III. APPLICATIONS 15. Geographic Information Systems Introduction Equipment for a GIS Computer Programs Data and Data Entry Alternative Data Structures Data for a GIS Relationships between Remotely Sensed Data and GIS Ancillary Data Modeling Spatial Processes with GISs and Remote Sensing National Center for Geographic Information and Analysis Summary Review Questions References 16. Plant Sciences Introduction Manual Interpretation Structure of the Leaf Spectral Behavior of the Living Leaf Vegetation Indices Applications of Vegetation Indices Phenology Advanced High-Resolution Radiometer Separating Soil Reflectance from Vegetation Reflectance Tasseled Cap Transformation Summary Review Questions References The Corn Blight Watch Large Area Crop Inventory Experiment 17. Earth Sciences Introduction Photogeology Lineaments Geobotany Direct Multispectral Observation of Rocks and Minerals Photoclinometry Band Ratios Soil and Landscape Mapping Integrated Terrain Units Summary Review Questions References 18. Hydrospheric Sciences Introduction Spectral Characteristics of Water Bodies Spectral Changes as Water Depth Increases Location and Extent of Water Bodies Roughness of the Water Surface Bathymetry Landsat Chromaticity Diagram Drainage Basin Hydrology Evapotranspiration Manual Interpretation Summary Review Questions References 19. Land Use and Land Cover Introduction Significance of Land Use and Land Cover Information Applications of Remote Sensing Land Use Classification Mapping Land Use by Manual Interpretation Mapping Land Use Change Broad-Scale Land Cover Studies Summary Review Questions References 20. Glohal Remote Sensing Introduction Biogeochemical Cycles Advanced High-Resolution Radiometer Earth Observing System EOS Instruments EOS Bus EOS Data and Information System Long-Term Environmental Research Sites Global Land Information System Summary Review Questions References Numéro de notice : 69218 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=62141