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Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externesMultimodal scene understanding: algorithms, applications and deep learning, ch. 11. Decision fusion of remote-sensing data for land cover classification / Arnaud Le Bris (2019)
Titre de série : Multimodal scene understanding: algorithms, applications and deep learning, ch. 11 Titre : Decision fusion of remote-sensing data for land cover classification Type de document : Chapitre/Contribution Auteurs : Arnaud Le Bris Editeur : Londres, New York : Academic Press Année de publication : 2019 Importance : pp 341 - 382 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification dirigée
[Termes IGN] fusion de données multisource
[Termes IGN] image à très haute résolution
[Termes IGN] image Sentinel-MSI
[Termes IGN] image SPOT 6
[Termes IGN] image SPOT 7
[Termes IGN] occupation du sol
[Termes IGN] série temporelle
[Termes IGN] zone urbaineRésumé : (Auteur) Very high spatial resolution (VHR) multispectral imagery enables a fine delineation of objects and a possible use of texture information. Other sensors provide a lower spatial resolution but an enhanced spectral or temporal information, permitting one to consider richer land cover semantics. So as to benefit from the complementary characteristics of these multimodal sources, a decision late fusion scheme is proposed. This makes it possible to benefit from the full capacities of each sensor, while dealing with both semantic and spatial uncertainties. The different remote-sensing modalities are first classified independently. Separate class membership maps are calculated and then merged at the pixel level, using decision fusion rules. A final label map is obtained from a global regularization scheme in order to deal with spatial uncertainties while conserving the contrasts from the initial images. It relies on a probabilistic graphical model involving a fit-to-data term related to merged class membership measures and an image-based contrast-sensitive regularization term. Conflict between sources can also be integrated into this scheme. Two experimental cases are presented. In the first case one considers the fusion of VHR multispectral imagery with lower spatial resolution hyperspectral imagery for fine-grained land cover classification problem in dense urban areas. In the second case one uses SPOT 6/7 satellite imagery and Sentinel-2 time series to extract urban area footprints through a two-step process: classifications are first merged in order to detect building objects, from which a urban area prior probability is derived and eventually merged to Sentinel-2 classification output for urban footprint detection. Numéro de notice : H2019-002 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1016/B978-0-12-817358-9.00017-2 Date de publication en ligne : 02/08/2019 En ligne : https://doi.org/10.1016/B978-0-12-817358-9.00017-2 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93303
Titre de série : Multimodal scene understanding: algorithms, applications and deep learning, ch. 8 Titre : Multimodal localization for embedded systems: a survey Type de document : Chapitre/Contribution Auteurs : Imane Salhi Editeur : Londres, New York : Academic Press Année de publication : 2019 Importance : pp 199 - 278 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] compréhension de l'image
[Termes IGN] fusion de données
[Termes IGN] géopositionnement
[Termes IGN] instrument embarqué
[Termes IGN] navigation automobile
[Termes IGN] navigation pédestre
[Termes IGN] réalité mixteRésumé : (Auteur) Localization by jointly exploiting multimodal information, like cameras, inertial measurement units (IMU), and global navigation satellite system (GNSS) data, is an active key research topic for autonomous embedded systems such as smart glasses or drones. These systems have become topical for acquisition, modeling, and interpretation for scene understanding. The exploitation of different sensor types improves the robustness of the localization, e.g. by merging the accuracy of one sensor with the reactivity of another one in a flexible manner. This chapter presents a survey of the existing multimodal techniques dedicated to the localization of autonomous embedded systems. Both the algorithmic and the hardware architecture sides are investigated in order to provide a global overview of the key elements to be considered when designing these embedded systems. Several applications in different domains (e.g. localization for mapping, pedestrian localization, automotive navigation and mixed reality) are presented to illustrate the importance of such systems nowadays in scene understanding. Numéro de notice : H2019-001 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1016/B978-0-12-817358-9.00014-7 Date de publication en ligne : 02/08/2019 En ligne : https://doi.org/10.1016/B978-0-12-817358-9.00014-7 Format de la ressource électronique : URL chapitre Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93300
Titre : Position location techniques and applications Type de document : Monographie Auteurs : D. Munoz, Auteur ; F. Bouchereau, Auteur ; C. Vargas, Auteur ; R. Enriquez-Caldera, Auteur Editeur : Londres, New York : Academic Press Année de publication : 2009 Importance : 275 p. Format : 19 x 24 cm ISBN/ISSN/EAN : 978-0-12-374353-4 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] Bluetooth
[Termes IGN] objet mobile
[Termes IGN] positionnement par géodésie spatiale
[Termes IGN] positionnement par géodésie terrestre
[Termes IGN] réseau local sans fil
[Termes IGN] WiFiIndex. décimale : 30.70 Navigation et positionnement Résumé : (Editeur) This book is the definitive guide to the techniques and applications of position location, covering both terrestrial and satellite systems. It gives all the techniques, theoretical models, and algorithms that engineers need to improve their current location schemes and to develop future location algorithms and systems. Comprehensive coverage is given to system design trade-offs, complexity issues, and the design of efficient positioning algorithms to enable the creation of high-performance location positioning systems. Traditional methods are also reexamined in the context of the challenges posed by reconfigurable and multihop networks. Applications discussed include wireless networks (WiFi, ZigBee, UMTS, and DVB networks), cognitive radio, sensor networks and multihop networks. Note de contenu : Chapter 1: The Position Location Problem
1.1 The PL need and Historical Developments
1.2 PL requirements and Limitation
1.3 Terrestrial and Satellite Scenarios
1.3.1 Terrestrial and Satellite Scenarios
1.4 Current and Potential Applications
Chapter 2: Signal Parameter Estimation for the Localization Problem
2.1 AOA measurements
2.2 Nonparametric Methods for Estimation of AOA
2.3 Parametric Methods for Estimation of AOA
2.4 TOA and TDOA measurements
2.5 Range Estimation Based on Receive Signal strength (RSS)
2.6 Signal strength (RSS)
Chapter 3: Location Information Processing
3.1 The Multilateration Problem
3.2 Geometrical multilateration
3.3 Statistical multilateration
3.4 Location estimation in multi hop scenarios
3.5 Performance assessment of location estimation systems
Chapter 4: Heuristic Approaches to the Position Location Problem
4.1 Single hop and relational scenarios
4.2 Multi Hop Scenarios
Chapter 5: Terrestrial Based Location Systems
5.1 From Cellular to Reconfigurable Networks
5.2 Mobility in Wireless Networks
5.3 Towards the Cognitive Radio Paradigm for Position Location
Chapter 6: Applications of Terrestrial Based Location Systems
6.1 Cellular Systems
6.2 Local / Indoor Network Scenario
6.3 Mesh Systems
Chapter 7: Satellite Based Location Systems (6)
7.1 Satellite Positioning
7.2 Structure of a System for Satellite Positioning
7.3 Fundamental Concepts Involved
7.4 Applications
7.5 Sources of Errors
7.6 Trends and Comparison
References
Appendix 1: Signal Propagation
A1. Large scale fading
A2. Small scale fading
A3. Compound fading modelsNuméro de notice : 20500 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=63045
Titre : Mesoscale meteorological modeling Type de document : Monographie Auteurs : R.A. Pielke, Auteur Mention d'édition : 2 Editeur : Londres, New York : Academic Press Année de publication : 2002 Collection : International geophysics series num. 78 Importance : 676 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-0-12-554766-6 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Atmosphère
[Termes IGN] aérosol
[Termes IGN] chaleur
[Termes IGN] circulation atmosphérique
[Termes IGN] humidité de l'air
[Termes IGN] masse d'air
[Termes IGN] modèle atmosphérique
[Termes IGN] modèle physique
[Termes IGN] propagation d'erreur
[Termes IGN] transformation de coordonnéesRésumé : (Editeur) The second edition of Mesoscale Meteorological Modeling is a fully revised resource for researchers and practitioners in the growing field of meteorological modeling at the mesoscale. Pielke has enhanced the new edition by quantifying model capability (uncertainty) by a detailed evaluation of the assumptions of parameterization and error propagation. Mesoscale models are applied in a wide variety of studies, including weather prediction, regional and local climate assessments, and air pollution investigations. Note de contenu : Preface
1-Introduction
2-Basic Set of Equations
3-Simplification of the Basic Equations
4-Averaging the Conservation Relations
5-Physical and analytic modeling
6-Coordinate Transformations
7-Parameterization-Averaged Subgrid Scale Fluxes
8-Averaged Radiation Flux Divergence
9-Parameterization of Moist Thermodynamic Processes
10-Methods of Solution
11-Boundary and Initial Conditions
12-Model Evaluation
13-Examples of Mesoscale Models
Appendix A: The Solution of Equations with Periodic Boundary Conditions
Appendix B: Model SummaryNuméro de notice : 19704 Affiliation des auteurs : non IGN Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=62867 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 19704-01 47.50 Livre Centre de documentation En réserve M-103 Disponible
Titre : Chemistry of the upper and lower atmosphere : theory, experiments and applications Type de document : Monographie Auteurs : B.J. Finlayson-Pitts, Auteur ; J.N. Pitts, Auteur Editeur : Londres, New York : Academic Press Année de publication : 2001 Importance : 970 p. Format : 23 x 28 cm ISBN/ISSN/EAN : 978-0-12-257060-5 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Atmosphère
[Termes IGN] aérosol
[Termes IGN] azote
[Termes IGN] changement climatique
[Termes IGN] gaz
[Termes IGN] pollution atmosphérique
[Termes IGN] stratosphère
[Termes IGN] troposphèreRésumé : (Editeur) This state-of-the-art book is a comprehensive treatment of atmospheric chemistry, including the application of measurements, mechanisms, and models to systems ranging from natural to highly polluted urban areas. Fundamentals are presented in a manner valuable not only to graduate students, postdoctoral fellows, and atmospheric chemists, but also to scientists and engineers in related areas. The current state of knowledge in this exciting and dynamic area is examined in depth, with emphasis on the chemical and physical interactions between the troposphere and the stratosphere. This book concludes by drawing on material in the 15 previous chapters to explore its application to the development of reliable risk assessments and effective control strategies for ozone, acids, particles, and airborne toxic chemicals. Note de contenu : 1- Overview of the Chemistry of Polluted and Remote Atmospheres
2- The Atmospheric System
3- Spectroscopy and Photochemistry: Fundamentals
4- Photochemistry of Important Atmospheric Species
5- Kinetics and Atmospheric Chemistry
6- Rates and Mechanisms of Gas-Phase Reactions in Irradiated Organic-NOx-Air Mixtures
7- Chemistry of Inorganic Nitrogen Compounds
8- Acid Deposition: Formation and Fates of Inorganic and Organic Acids in the Troposphere
9- Particles in the Troposphere
10- Airborne Polycyclic Aromatic Hydrocarbons and Their Derivatives: Atmospheric Chemistry and Toxicological Implications
11- Analytical Methods and Typical Atmospheric Concentrations for Gases and Particles
12- Homogeneous and Heterogeneous Chemistry in the Stratosphere
13- Scientific Basis for Control of Halogenated Organics
14- Global Tropospheric Chemistry and Climate Change
15- Indoor Air Pollution: Sources, Levels, Chemistry, and Fates
16- Applications of Atmospheric Chemistry: Air Pollution Control Strategies and Risk Assessments for Tropospheric Ozone and Associated Photochemical Oxidants, Acids, Particles, and Hazardous Air PollutantsNuméro de notice : 19703 Affiliation des auteurs : non IGN Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=62866 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 19703-01 47.50 Livre Centre de documentation En réserve M-103 Disponible Graphical models (2000 -)
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