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Titre : Natural hazards Type de document : Monographie Auteurs : John P. Tiefenbacher, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2019 Importance : 276 p. Format : 19 x 27 cm ISBN/ISSN/EAN : 978-1-78984-086-5 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] barrage
[Termes IGN] distribution spatiale
[Termes IGN] environnement
[Termes IGN] gestion des risques
[Termes IGN] inondation
[Termes IGN] modèle de simulation
[Termes IGN] prévention des risques
[Termes IGN] risque naturel
[Termes IGN] risque technologique
[Termes IGN] sécurité nucléaire
[Termes IGN] séisme
[Termes IGN] surveillance d'ouvrage
[Termes IGN] viaducRésumé : (éditeur) Natural Hazards - Risk, Exposure, Response, and Resilience demonstrates advanced techniques to measure risks, exposures, responses, and solutions to hazards in an array of communities. Eleven original research reports by international scholars on hazard assessment and management are organized into four sections: studies assessing risk using in-depth modeling and technological detection to provide insight into problems associated with earthquakes, torrential rains, and nuclear power plant safety; studies revealing the spatial distributions of exposure and impacts from an assortment of hazards; studies examining human response to increased awareness of the patterns of hazard; and a study demonstrating assessment of resilience of sociotechnological systems to natural hazards. This volume contributes new conceptual and practical commentaries to assess, mitigate, and plan for disasters. Note de contenu : 1- Assessing seismic hazard in Chile using deep neural networks
2- Strong rainfall in Mato Grosso do Sul, Brazil: Synoptic analysis and numerical simulation
3- Natural hazards and nuclear power plant safety
4- Estimation of shear wave velocity profiles employing genetic algorithms and the diffuse field approach on microtremors array: Implications on liquefaction hazard at Port of Spain, Trinidad
5- Long-wave generation due to atmospheric-pressure variation and harbor oscillation in harbors of various shapes and countermeasures against meteotsunamis
6- Identification and assessment of hazard of development in gypsum karst regions: Examples from Turkey
7- Dam retirement and decision-making
8- Seismic hazard of viaduct transportation infrastructure
9- Determinants of coping strategies to floods and droughts in multiple geo-Ecological zones
10- Emergency communications network for disaster management
11- Interview of natural hazards anresilience of sociotechnological systems to natural hazardsNuméro de notice : 25944 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.77841 En ligne : https://doi.org/10.5772/intechopen.77841 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96333
Titre : Satellite information classification and interpretation Type de document : Monographie Auteurs : Rustam B. Rustamov, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2019 Importance : 172 p. ISBN/ISSN/EAN : 978-1-83880-793-1 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] détection du bâti
[Termes IGN] image à haute résolution
[Termes IGN] image proche infrarouge
[Termes IGN] réseau neuronal artificiel
[Termes IGN] télédétection spatialeRésumé : (Editeur) Without a doubt, understanding what we must do to save our home, our planet, and how we are to do it is of the gravest importance for the present generation and the next. Clearly, advances won through space technology and applications of the same to the study of Earth play an excellent and vital role in classification and interpretation of the processes taking place on the Earth and in space. Today, space technology helps us understand Earth and how we can support and manage its state, to keep it in working condition under the current circumstances.How can we do this? Obviously, we must use appropriate methods and instruments to collect the information we need. In the meantime, it is necessary to develop systems to analyze and process the data collected. Note de contenu : 1. Introductory Chapter: Aerospace Information Classification
2. Pan-sharpening Using Spatial-frequency Method
3. Lossy Compression of Remote Sensing Images with Controllable Distortions
4. Reverse Satellite Transionospheric Sounding: Advantages and Prospects
5. High-Resolution Satellite Imagery Classification for Urban Form Detection
6. Water Management in Irrigation Systems by Using Satellite Information
7. Validation of Satellite (TMPA and IMERG) Rainfall Products with the IMD Gridded Data Sets over Monsoon Core Region of India
8. Near- and Middle-Infrared Monitoring of Burned Areas from Space
9. The Use of Visible Geostationary Operational Meteorological Satellite Imagery in Mapping the Water Balance over Puerto Rico for Water Resource ManagementNuméro de notice : 26311 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.77202 Date de publication en ligne : 03/10/2019 En ligne : https://doi.org/10.5772/intechopen.77202 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95088
Titre : Trends in geomatics : An Earth science perspective Type de document : Monographie Auteurs : Rifaat Abdalla, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2019 Importance : 98 p. Format : 19 x 27 cm ISBN/ISSN/EAN : 978-1-78985-436-7 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] apprentissage automatique
[Termes IGN] données massives
[Termes IGN] internet des objets
[Termes IGN] réalité augmentée
[Termes IGN] sciences de la Terre et de l'univers
[Termes IGN] SIG participatif
[Termes IGN] système d'information géographique
[Termes IGN] télédétection
[Termes IGN] ville intelligenteRésumé : (éditeur) The applications of geomatics technology in its broader context have resulted in significant progress in the field of earth science. This book provides brief coverage on some trends in geomatics technology as it relates to earth scientists. The development in geomatics, whether GIS, remote sensing, GPS or photogrammetry, can be seen from trends in the applications of Big Data, Smart City, Internet of Things (IoT), the use of augmented reality and utilization of unmanned aerial vehicles (UAVs) and in the impact of machine learning and AI on geomatics. Note de contenu : 1- From land surveying to geomatics - multidisciplinary technological trends
2- Architectural design and prototyping of co-PPGIS: A groupware-based online synchronous collaborative PPGIS to support municipality development and planning management workflows
3- Identification of karst forms using LiDAR technology: Cozumel Island, Mexico
4- Lessons learned from the establishments of the first hydrographic surveying program in the Middle East
5-Numéro de notice : 25951 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.75730 En ligne : https://doi.org/10.5772/intechopen.75730 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96405 Understanding of atmospheric systems with efficient numerical methods for observation and prediction / Lei-Ming Ma (2019)
Titre : Understanding of atmospheric systems with efficient numerical methods for observation and prediction Type de document : Monographie Auteurs : Lei-Ming Ma, Éditeur scientifique ; Feng Zhang, Éditeur scientifique ; Chang-Jiang Zhang, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2019 Importance : 168 p. ISBN/ISSN/EAN : 978-1-83880-634-7 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Chine
[Termes IGN] cyclone
[Termes IGN] image infrarouge
[Termes IGN] image radar
[Termes IGN] image satellite
[Termes IGN] Madrid (Espagne)
[Termes IGN] observation de la Terre
[Termes IGN] phénomène atmosphérique
[Termes IGN] pluie
[Termes IGN] polarisation
[Termes IGN] prévision météorologique
[Termes IGN] qualité de l'air
[Termes IGN] température de l'air
[Termes IGN] zone urbaineRésumé : (Editeur) Although the technology of observation and prediction of atmospheric systems draws upon many common fields, until now the interrelatedness and interdisciplinary nature of these research fields have scarcely been discussed in one volume containing fundamental theories, numerical methods, and operational application results. This is a book to provide in-depth explorations of the numerical methods developed to better understand atmospheric systems, which are introduced in eight chapters. Chapter 1 presents an efficient algorithm for tropical cyclone center determination by using satellite imagery. Chapter 2 aims to identify atmospheric systems with a new polarization remote sensing method. Chapters 3-8 place emphasis on enhancing the performance of numerical models in the prediction of atmospheric systems that should be valuable for researchers and forecasters. Note de contenu : 1. Introductory Chapter: Understanding of Atmospheric Systems with Efficient Numerical Methods for Observation and Prediction / Lei-Ming Ma
2. Tropical Cyclone Center Determination Algorithm by Texture and Gradient of Infrared Satellite Image / Chang-Jiang Zhang, Qi Luo, Yuan Chen, Juan Lu, Li-Cheng Xue and Xiao-Qin Lu
3. Polarization Remote Sensing for Land Observation / Lei Yan, Taixia Wu and Xueqi Wang
4. Rainfall Nowcasting by Blending of Radar Data and Numerical Weather Prediction / Hai Chu, Mengjuan Liu, Min Sun and Lei Chen
5. Spectral Representation of Time and Physical Parameters in Numerical Weather Prediction / Kristoffer Lindvall and Jan Scheffel
6. Atmospheric Radiative Transfer Parameterizations / Feng Zhang, Yi-Ning Shi, Kun Wu, Jiangnan Li and Wenwen Li
7. Evaluating Cooling Tower Scheme and Mechanical Drag Coefficient Formulation in High-Resolution Regional Model / Miao Yu and Shiguang Miao
8. Numerical Air Quality Forecast over Eastern China: Development, Uncertainty and Future / Guangqiang Zhou, Zhongqi Yu, Yixuan Gu and Luyu Chang
9. Numerical Simulation of the Effects of Increasing Urban Albedo on Air Temperatures and Quality over Madrid City (Spain) by Coupled WRF/CMAQ Atmospheric Chemistry Model / Pablo CampraNuméro de notice : 26506 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.76493 En ligne : https://doi.org/10.5772/intechopen.76493 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97085
Titre : Visual object tracking with deep neural networks Type de document : Monographie Auteurs : Pier Luigi Mazzeo, Éditeur scientifique ; Srinivasan Ramakrishnan, Éditeur scientifique ; Paolo Spagnolo, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2019 Importance : 206 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-78985-142-7 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] apprentissage automatique
[Termes IGN] apprentissage profond
[Termes IGN] détection d'objet
[Termes IGN] image captée par drone
[Termes IGN] poursuite de cible
[Termes IGN] réseau neuronal artificiel
[Termes IGN] réseau neuronal siamois
[Termes IGN] segmentation sémantique
[Termes IGN] SIFT (algorithme)Résumé : (éditeur) Visual object tracking (VOT) and face recognition (FR) are essential tasks in computer vision with various real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security. This book presents the state-of-the-art and new algorithms, methods, and systems of these research fields by using deep learning. It is organized into nine chapters across three sections. Section I discusses object detection and tracking ideas and algorithms; Section II examines applications based on re-identification challenges; and Section III presents applications based on FR research. Note de contenu : 1- Deep siamese networks toward robust visual tracking
2- Multi-person tracking based on faster R-CNN and deep appearance features
3- Detecting and counting small animal species using drone imagery by applying deep learning
4- Deep-facial feature-based person reidentification for authentication in surveillance applications
5- Object re-identification based on deep learning
6- Spatial domain representation for face recognition
7- Extended binary gradient pattern (eBGP): A micro-and macrostructure-based binary gradient pattern for face recognition in video surveillance area
8- Matrix factorization on complex domain for face recognition
9- Granular approach for recognizing surgically altered face Images using keypoint descriptors and artificial neural networkNuméro de notice : 28579 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.80142 En ligne : https://doi.org/10.5772/intechopen.80142 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97854 PermalinkPermalinkPermalinkPermalinkPermalinkMorphodynamic model for predicting beach changes based on Bagnold's concept and its applications / Takaaki Uda (2018)PermalinkPermalinkPermalinkPermalinkPermalink