Multisensor data fusion and machine learning for environmental remote sensing, Chang, Ni-bin Bai, Kaixu
Автор: Alexandra Gemitzi, Nikolaos Koutsias, Venkat Laksh Название: Advanced Environmental Monitoring with Remote Sensing Time Series Data and R ISBN: 0367205270 ISBN-13(EAN): 9780367205270 Издательство: Taylor&Francis Рейтинг: Цена: 58170.00 T Наличие на складе: Невозможна поставка. Описание: Provides a step-by-step guide on how to use various publicly-available, remotely-sensed time series data sources for environmental monitoring and assessment. Readers will learn how extract valuable information on global changes from a 20-year collection of ready-to-use remotely-sensed data through the free, open GIS and statistical software R.
Автор: Manfred F. Buchroithner Название: Remote Sensing for Environmental Data in Albania ISBN: 0792365275 ISBN-13(EAN): 9780792365273 Издательство: Springer Рейтинг: Цена: 153720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Proceedings of the NATO Advanced Research Workshop on Remote Sensing for Environmental Data in Albania: A Strategy for Integrated Management, 6-10 October 1999
Автор: Purkis Название: Remote Sensing and Global Environmental Change ISBN: 1444339354 ISBN-13(EAN): 9781444339352 Издательство: Wiley Рейтинг: Цена: 141450.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides the reader a broad grounding in the science of Earth Observation (EO) of our changing planet. It contains a comprehensive sequenced discussion covering the significant themes of global change, their cause, and how they can be monitored through time.
Remote Sensing Applications in Environmental and Earth System Sciences is a contemporary, multi-disciplinary, multi-scaling, updated, and upgraded approach of applied remote sensing in the environment. The book begins with an overview of remote sensing technology, and then explains the types of data that can be used as well as the image processing and analysis methods that can be applied to each type of application through the use of case studies throughout.
Includes a wide spectrum of environmental applications and issues
Explains methodological image analysis and interpretation procedures for conducting a variety of environmental analyses
Discusses the development of early warning systems
Covers monitoring of the environment as a whole - atmosphere, land, and water
Explores the latest remote sensing systems in environmental applications
This book is an excellent resource for anyone who is interested in remote sensing technologies and their use in Earth systems, natural resources, and environmental science.
Автор: Lee Название: Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System ISBN: 3319905082 ISBN-13(EAN): 9783319905082 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.
Название: Multisensor data fusion ISBN: 1482263742 ISBN-13(EAN): 9781482263749 Издательство: Taylor&Francis Рейтинг: Цена: 168430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world's leading data fusion researchers and academicians, this authoritative book:
Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors
Describes new materials and achievements in optimal fusion and multisensor filters
Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies
Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures
Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation
Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.
Автор: Sukhan Lee; Hanseok Ko; Songhwai Oh Название: Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System ISBN: 3030080307 ISBN-13(EAN): 9783030080303 Издательство: Springer Рейтинг: Цена: 144410.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.
Автор: Yan Liping, Jiang Lu, Xia Yuanqing Название: Multisensor Fusion Estimation Theory and Application ISBN: 9811594252 ISBN-13(EAN): 9789811594250 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. In Part II, the data fusion state estimation algorithms under networked environment are introduced. Part III consists of three chapters, in which the fusion estimation algorithms under event-triggered mechanisms are introduced.
Автор: Gian Luca Foresti; Carlo S. Regazzoni; Pramod K. V Название: Multisensor Surveillance Systems ISBN: 1461350433 ISBN-13(EAN): 9781461350439 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Monitoring of public and private sites is increasingly becoming a very important and critical issue, especially after the recent flurry of terrorist attacks including the one on the Word Trade Center in September 2001.
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