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Deep Learning for Remote Sensing Images with Open Source Software, Re?mi Cresson


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Цена: 5358.00р.
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При оформлении заказа до: 2025-08-18
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Автор: Re?mi Cresson
Название:  Deep Learning for Remote Sensing Images with Open Source Software
ISBN: 9780367518981
Издательство: Taylor&Francis
Классификация:







ISBN-10: 0367518988
Обложка/Формат: Paperback
Страницы: 152
Вес: 0.30 кг.
Дата издания: 16.01.2022
Серия: Signal and image processing of earth observations
Язык: English
Иллюстрации: 6 tables, black and white; 68 illustrations, color
Размер: 23.39 x 15.60 x 0.89 cm
Читательская аудитория: Postgraduate, research & scholarly
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Поставляется из: Европейский союз
Описание: This is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches are generic and adapted to suit applications for various remote sensing images processing in landcover mapping, forestry, urban, in disaster mapping, image restoration, etc.


Subpixel mapping for remote sensing images /

Автор: Wang, Peng,
Название: Subpixel mapping for remote sensing images /
ISBN: 1032229381 ISBN-13(EAN): 9781032229386
Издательство: Taylor&Francis
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Цена: 18374.00 р.
Наличие на складе: Нет в наличии.

Описание: This book provides a complete overview of subpixel image processing methods, basic principles, and different subpixel mapping techniques based on single or multi-shift remote sensing images. Real-life applications are a great resource for understanding how and where to use subpixel mapping with different remote sensing imaging data.

Physical Principles of Remote Sensing (2017)

Автор: Rees
Название: Physical Principles of Remote Sensing (2017)
ISBN: 052118116X ISBN-13(EAN): 9780521181167
Издательство: Cambridge Academ
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Цена: 6599.00 р.
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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.

Spectral Analysis for Univariate Time Series

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: 14573.00 р.
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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.

Deep learning in science

Автор: Baldi, Pierre (university Of California, Irvine)
Название: Deep learning in science
ISBN: 1108845355 ISBN-13(EAN): 9781108845359
Издательство: Cambridge Academ
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Цена: 7918.00 р.
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Описание: This is the first rigorous, self-contained treatment of the theory of deep learning. Aimed at scientists, instructors, and students interested in artificial intelligence and deep learning, it demonstrates many applications in physics, chemistry, and biomedicine. It includes a full set of exercises and encourages out-of-the-box thinking.

Remote Sensing for Food Security

Автор: Kogan
Название: Remote Sensing for Food Security
ISBN: 3319962558 ISBN-13(EAN): 9783319962559
Издательство: Springer
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Цена: 22359.00 р.
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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.

Deep learning for remote sensing images with open source software

Автор: Cresson, Remi
Название: Deep learning for remote sensing images with open source software
ISBN: 0367858487 ISBN-13(EAN): 9780367858483
Издательство: Taylor&Francis
Рейтинг:
Цена: 13779.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches are generic and adapted to suit applications for various remote sensing images processing in landcover mapping, forestry, urban, in disaster mapping, image restoration, etc.

Remote sensing of landscapes with spectral images

Автор: Adams, John B. (university Of Washington) Gillespie, Alan R. (university Of Washington)
Название: Remote sensing of landscapes with spectral images
ISBN: 1108462774 ISBN-13(EAN): 9781108462778
Издательство: Cambridge Academ
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Цена: 8554.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This textbook and reference describes how to process and interpret spectral images using physical models. The emphasis is on the practical use of images rather than on theory and mathematical derivations. Ideal for graduate students and professionals in a variety of disciplines, the book is supplemented by web resources.

Hyperspectral remote sensing of vegetation /

Автор: Prasad S. Thenkabail
Название: Hyperspectral remote sensing of vegetation /
ISBN: 1138066257 ISBN-13(EAN): 9781138066250
Издательство: Taylor&Francis
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Цена: 76560.00 р.
Наличие на складе: Нет в наличии.

Описание: The second edition includes extensive discussions on data processing and how to implement data processing mechanisms in a standard, fast, and efficient manner. Written by global experts, each chapter focuses on specific applications, reviews existing "state-of-art" knowledge, highlights the advances made, and provides guidance for data usage.

Geospatial Free and Open Source Software in the 21st Century

Автор: Erwan Bocher; Markus Neteler
Название: Geospatial Free and Open Source Software in the 21st Century
ISBN: 3642433618 ISBN-13(EAN): 9783642433610
Издательство: Springer
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Цена: 19589.00 р.
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Описание: This book contains papers presented at the first Open Source Geospatial Research Symposium held in Nantes City, France, 8-10 July, 2009. It demonstrates the scientific community dynamism related to open source and free software as well as in defining new concepts, standards or tools.

GIS in Sustainable Urban Planning and Management (Open Access)

Название: GIS in Sustainable Urban Planning and Management (Open Access)
ISBN: 1138505552 ISBN-13(EAN): 9781138505551
Издательство: Taylor&Francis
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Цена: 28327.00 р.
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Описание:

The Open Access version of this book, available at http: //www.tandfebooks.com/doi/view/10.1201/9781315146638, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 3.0 license.

GIS is used today to better understand and solve urban problems. GIS in Sustainable Urban Planning and Management: A Global Perspective, explores and illustrates the capacity that geo-information and GIS have to inform practitioners and other participants in the processes of the planning and management of urban regions. The first part of the book addresses the concept of sustainable urban development, its different frameworks, the many ways of measuring sustainability, and its value in the urban policy arena. The second part discusses how urban planning can shape our cities, examines various spatial configurations of cities, the spread of activities, and the demands placed on different functions to achieve strategic objective. It further focuses on the recognition that urban dwellers are increasingly under threat from natural hazards and climate change.

Written by authors with expertise on the applications of geo-information in urban management, this book showcases the importance of GIS in better understanding current urban challenges and provides new insights on how to apply GIS in urban planning. It illustrates through real world cases the use of GIS in analyzing and evaluating the position of disadvantaged groups and areas in cities and provides clear examples of applied GIS in urban sustainability and urban resilience.

The idea of sustainable development is still very much central in the new development agenda of the United Nations, and in that sense, it is of particular importance for students from both the Global South and Global North. Professionals, researchers, and students alike will find this book to be an invaluable resource for understanding and solving problems relating to sustainable urban planning and management.

Techniques and Methods in Urban Remote Sensing

Автор: Qihao Weng
Название: Techniques and Methods in Urban Remote Sensing
ISBN: 111821773X ISBN-13(EAN): 9781118217733
Издательство: Wiley
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Цена: 17733.00 р.
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Описание:

An authoritative guide to the essential techniques and most recent advances in urban remote sensing

Techniques and Methods in Urban Remote Sensing offers a comprehensive guide to the recent theories, methods, techniques, and applications in urban remote sensing. Written by a noted expert on the subject, this book explores the requirements for mapping impervious surfaces and examines the issue of scale. The book covers a range of topics and includes illustrative examples of commonly used methods for estimating and mapping urban impervious surfaces, explains how to determine urban thermal landscape and surface energy balance, and offers information on impacts of urbanization on land surface temperature, water quality, and environmental health.

Techniques and Methods in Urban Remote Sensing brings together in one volume the latest opportunities for combining ever-increasing computational power, more plentiful and capable data, and more advanced algorithms. This allows the technologies of remote sensing and GIS to become mature and to gain wider and better applications in environments, ecosystems, resources, geosciences, geography and urban studies. This important book:

  • Contains a comprehensive resource to the latest developments in urban remote sensing
  • Explains urban heat islands modeling and analysis
  • Includes information on estimating urban surface energy fluxes
  • Offers a guide to generating data on land surface temperature

Written for professionals and students of environmental, ecological, civic and urban studies, Techniques and Methods in Urban Remote Sensing meets the demand for an updated resource that addresses the recent advances urban remote sensing.

Remote Sensing Geology

Автор: Ravi P. Gupta
Название: Remote Sensing Geology
ISBN: 3662558742 ISBN-13(EAN): 9783662558744
Издательство: Springer
Рейтинг:
Цена: 12577.00 р.
Наличие на складе: Поставка под заказ.

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.” 

                                                                                                             Jan J. Nossin

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