Multi-sensor and multi-temporal remote sensing, Kumar, Anil (indian Institute Of Remote Sensing, Dehradun, India) Upadhyay, Priyadarshi (uttarakhand Space Application Centre, Dehradun, India) Singh,

Автор: Rees
Название: Physical Principles of Remote Sensing (2017)
ISBN: 052118116X ISBN-13(EAN): 9780521181167
Издательство: Cambridge Academ
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Цена: 43990.00 T
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Описание: Covering a wide range of remote sensing techniques and applications, this new edition is now more accessible to students, while retaining its focus on physical and mathematical principles. Chapter summaries, review questions, problem sets and supporting online material allow students to test their understanding and practise handling data for themselves.

Автор: Donald B. Percival, Andrew T. Walden
Название: Spectral Analysis for Univariate Time Series
ISBN: 1107028140 ISBN-13(EAN): 9781107028142
Издательство: Cambridge Academ
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Цена: 97150.00 T
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Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.

Автор: Ryuji Ukai
Название: Multi-Step Multi-Input One-Way Quantum Information Processing with Spatial and Temporal Modes of Light
ISBN: 4431550186 ISBN-13(EAN): 9784431550181
Издательство: Springer
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Цена: 121890.00 T
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Описание: In this thesis, the author develops for the first time an implementation methodology for arbitrary Gaussian operations using temporal-mode cluster states. The experimental basic structure of one-way quantum computation over two-mode input state is demonstrated by the controlled-Z gate and the optimum nonlocal gate experiments.

Автор: Liang, Qiaokang
Название: Multi-component torque sensing systems
ISBN: 0367502402 ISBN-13(EAN): 9780367502409
Издательство: Taylor&Francis
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Цена: 53070.00 T
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Описание: This book will focus on the design, development, decoupling, and applications of multi-component torque sensing systems. Force and moment information can be used as feedback to form an automatic control system to accomplish efficient manipulation.

Автор: Liang, Qiaokang
Название: Multi-Component Force Sensing Systems
ISBN: 0367511258 ISBN-13(EAN): 9780367511258
Издательство: Taylor&Francis
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Цена: 22450.00 T
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Автор: H.B. Mitchell
Название: Multi-Sensor Data Fusion: An Introduction
ISBN: 3642090672 ISBN-13(EAN): 9783642090677
Издательство: Springer
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Цена: 87060.00 T
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Описание: This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.

Автор: Hugh F. Durrant-Whyte
Название: Integration, Coordination and Control of Multi-Sensor Robot Systems
ISBN: 1461291984 ISBN-13(EAN): 9781461291985
Издательство: Springer
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Цена: 130430.00 T
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Описание: The observations made by the different sensors of a multi-sensor system are always uncertain, usually partial, occasionally spuri9us or incorrect and often geographically or geometrically imcomparable with other sensor views.

Автор: Itshak Tkach; Yael Edan
Название: Distributed Heterogeneous Multi Sensor Task Allocation Systems
ISBN: 3030347346 ISBN-13(EAN): 9783030347345
Издательство: Springer
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Цена: 93160.00 T
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Описание:

Today's real-world problems and applications in sensory systems and target detection require efficient, comprehensive and fault-tolerant multi-sensor allocation. This book presents the theory and applications of novel methods developed for such sophisticated systems. It discusses the advances in multi-agent systems and AI along with collaborative control theory and tools. Further, it examines the formulation and development of an allocation framework for heterogeneous multi-sensor systems for various real-world problems that require sensors with different performances to allocate multiple tasks, with unknown a priori priorities that arrive at unknown locations at unknown time. It demonstrates how to decide which sensor to allocate to which tasks when and where. Lastly, it explains the reliability and availability issues of task allocation systems, and includes methods for their optimization.

The presented methods are explained, measured, and evaluated by extensive simulations, and the results of these simulations are presented in this book.

This book is an ideal resource for academics, researchers and graduate students as well as engineers and professionals and is relevant for various applications such as sensor network design, multi-agent systems, task allocation, target detection, and team formation.

Автор: Tkach Itshak, Edan Yael
Название: Distributed Heterogeneous Multi Sensor Task Allocation Systems
ISBN: 3030347370 ISBN-13(EAN): 9783030347376
Издательство: Springer
Цена: 93160.00 T
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Описание: Introduction.- Multi-agent task allocation.- Multi-Sensor task allocation systems.- Evaluation methodology.- Single-layer multi-sensor task allocation system.- Extended examples of single-layer multi-sensor systems.- Dual-layer multi-sensor task allocation system.- Extended example of dual-layer multi-sensor task allocation systems.- Fault tolerant multi sensor system with high availability.- Analytical analysis of a simplified scenario of two sensors and two tasks.

Автор: Raol, Jitendra R.
Название: Multi-Sensor Data Fusion with MATLAB®
ISBN: 1439800030 ISBN-13(EAN): 9781439800034
Издательство: Taylor&Francis
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Цена: 193950.00 T
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Автор: Ravi P. Gupta
Название: Remote Sensing Geology
ISBN: 3662558742 ISBN-13(EAN): 9783662558744
Издательство: Springer
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Цена: 83850.00 T
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Описание: Over the past decade, advances in sensor technology, processing algorithms, and computational capacity have taken remote sensing to a level where observations can be transformed into quantitative measurements, and the technology can be used in near real-time for mapping, monitoring and decision-making. For the third edition, this widely acclaimed book has been fully revised, enlarged and updated. It covers remote sensing in a wide range of optical, thermal, and microwave wavelengths and their host of geologic applications featuring sample applications from around the globe. In addition, it presents state-of-the-art content on emerging themes such as atmospheric interactions, spectroscopy, spectral indices, prospectivity modelling, and multi-sensor geodata integration. Thesubject matter is presented at a basic level, offering students an excellent introductory text on remote sensing. Further, the main part of the book will also be of great value to active researchers.Excerpt from the review of Remote Sensing Geology (2nd ed., 2003): International Journal of Applied Earth Observation and Geoinformation, 5 (2004) 239–240“....Graduate students, research workers and professional earth scientists will use this book to their advantage and with pleasure; it is well-written, to the point and with an emphasis on understanding the principles underlying this wide spectre of technology in its application to the earth sciences. Remote sensing is a fascinating subject; so is geology. The author has fully succeeded in providing a fascinating book that combines them in a handy volume.” 

Автор: Kogan
Название: Remote Sensing for Food Security
ISBN: 3319962558 ISBN-13(EAN): 9783319962559
Издательство: Springer
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Цена: 149060.00 T
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Описание: This volume gathers a variety of applications for remote sensing of vegetation health (VH) and concretely shows how this information can be used in service of ending hunger and of ensuring future food security.