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Big Data Analytics for Satellite Image Processing and Remote Sensing, P. Swarnalatha, Prabu Sevugan


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Цена: 208830.00T
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Автор: P. Swarnalatha, Prabu Sevugan
Название:  Big Data Analytics for Satellite Image Processing and Remote Sensing
ISBN: 9781522536437
Издательство: Mare Nostrum (Eurospan)
Классификация:




ISBN-10: 1522536434
Обложка/Формат: Hardcover
Страницы: 280
Вес: 0.70 кг.
Дата издания: 30.03.2018
Серия: Earth Science
Язык: English
Размер: 254 x 178 x 18
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Geographical information systems (GIS) & remote sensing,Instruments & instrumentation engineering,Information technology: general issues, COMPUTERS / General,COMPUTERS / Data Processing,TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems
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Поставляется из: Англии
Описание: The scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization.Big Data Analytics for Satellite Image Processing and Remote Sensing is a critical scholarly resource that examines the challenges and difficulties of implementing big data in image processing for remote sensing and related areas. Featuring coverage on a broad range of topics, such as distributed computing, parallel processing, and spatial data, this book is geared towards scientists, professionals, researchers, and academicians seeking current research on the use of big data analytics in satellite image processing and remote sensing.

Principles of Synthetic Aperture Radar Imaging

Автор: Chen
Название: Principles of Synthetic Aperture Radar Imaging
ISBN: 1466593148 ISBN-13(EAN): 9781466593145
Издательство: Taylor&Francis
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Цена: 168430.00 T
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Principles of Synthetic Aperture Radar Imaging: A System Simulation Approach demonstrates the use of image simulation for SAR. It covers the various applications of SAR (including feature extraction, target classification, and change detection), provides a complete understanding of SAR principles, and illustrates the complete chain of a SAR operation.

The book places special emphasis on a ground-based SAR, but also explains space and air-borne systems. It contains chapters on signal speckle, radar-signal models, sensor-trajectory models, SAR-image focusing, platform-motion compensation, and microwave-scattering from random media.

While discussing SAR image focusing and motion compensation, it presents processing algorithms and applications that feature extraction, target classification, and change detection. It also provides samples of simulation on various scenarios, and includes simulation flowcharts and results that are detailed throughout the book.

Introducing SAR imaging from a systems point of view, the author:

  • Considers the recent development of MIMO SAR technology
  • Includes selected GPU implementation
  • Provides a numerical analysis of system parameters (including platforms, sensor, and image focusing, and their influence)
  • Explores wave-target interactions, signal transmission and reception, image formation, motion compensation
  • Covers all platform motion compensation and error analysis, and their impact on final image radiometric and geometric quality
  • Describes a ground-based SFMCW system

Principles of Synthetic Aperture Radar Imaging: A System Simulation Approach is dedicated to the use, study, and development of SAR systems. The book focuses on image formation or focusing, treats platform motion and image focusing, and is suitable for students, radar engineers, and microwave remote sensing researchers.


Автор: Chiranji Lal Chowdhary
Название: Intelligent Systems: Advances in Biometric Systems, Soft Computing, Image Processing, and Data Analytics
ISBN: 1771888008 ISBN-13(EAN): 9781771888004
Издательство: Taylor&Francis
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Цена: 133730.00 T
Наличие на складе: Невозможна поставка.
Описание: This volume, Intelligent Systems: Advances in Biometric Systems, Soft Computing, Image Processing, and Data Analytics, helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing approaches to develop good intelligent system

Автор: C. H. Chen
Название: Image Processing for Remote Sensing
ISBN: 1315894254 ISBN-13(EAN): 9781315894256
Издательство: Taylor&Francis
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Цена: 178640.00 T
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Описание: Edited by leaders in the field, with contributions by a panel of experts, this book covers unconventional mathematics methods for image processing in remote sensing. The coverage includes the physics and mathematical algorithms of SAR images, a comprehensive treatment of MRF-based remote sensing image classification, statistical approaches for improved classification with the remote sensing data, Wiener filter-based method, and other modern approaches and methods of image processing for remotely sensed data. Each chapter explores a technique for dealing with a specific remote sensing problem. The book offers physical insights on the steps for constructing various digital seismic images.The volume examines image modelling, statistical image classifiers, change detection, independent component analysis, vertex component analysis, image fusion for better classification. It explores unique topics such as accuracy assessment and information-theoretic measure of multiband images and many chapters emphasize issues with synthetic aperture radar (SAR) images. Continued development on imaging sensors creates new opportunities and challenges in image processing for remote sensing. Image Processing for Remote Sensing - not only presents the most up to date developments of image processing for remote sensing but also suggests to readers the many challenging problems ahead for further study.

Автор: Lorenzo Bruzzone
Название: Image and Signal Processing for Remote Sensing XXIV
ISBN: 151062161X ISBN-13(EAN): 9781510621619
Издательство: Mare Nostrum (Eurospan)
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Цена: 145070.00 T
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Описание: Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.

Mathematical Models for Remote Sensing Image Processing

Автор: Gabriele Moser; Josiane Zerubia
Название: Mathematical Models for Remote Sensing Image Processing
ISBN: 3319663283 ISBN-13(EAN): 9783319663289
Издательство: Springer
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Цена: 149060.00 T
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Описание: This book maximizes reader insights into the field of mathematical models and methods for the processing of two-dimensional remote sensing images. It presents a broad analysis of the field, encompassing passive and active sensors, hyperspectral images, synthetic aperture radar (SAR), interferometric SAR, and polarimetric SAR data. At the same time, it addresses highly topical subjects involving remote sensing data types (e.g., very high-resolution images, multiangular or multiresolution data, and satellite image time series) and analysis methodologies (e.g., probabilistic graphical models, hierarchical image representations, kernel machines, data fusion, and compressive sensing) that currently have primary importance in the field of mathematical modelling for remote sensing and image processing. Each chapter focuses on a particular type of remote sensing data and/or on a specific methodological area, presenting both a thorough analysis of the previous literature and a methodological and experimental discussion of at least two advanced mathematical methods for information extraction from remote sensing data. This organization ensures that both tutorial information and advanced subjects are covered. With each chapter being written by research scientists from (at least) two different institutions, it offers multiple professional experiences and perspectives on each subject. The book also provides expert analysis and commentary from leading remote sensing and image processing researchers, many of whom serve on the editorial boards of prestigious international journals in these fields, and are actively involved in international scientific societies. Providing the reader with a comprehensive picture of the overall advances and the current cutting-edge developments in the field of mathematical models for remote sensing image analysis, this book is ideal as both a reference resource and a textbook for graduate and doctoral students as well as for remote sensing scientists and practitioners.

Machine Vision and Advanced Image Processing in Remote Sensing

Автор: Ioannis Kanellopoulos; Graeme G. Wilkinson; Theo M
Название: Machine Vision and Advanced Image Processing in Remote Sensing
ISBN: 3642642608 ISBN-13(EAN): 9783642642609
Издательство: Springer
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Цена: 130610.00 T
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Multi-resolution Image Fusion in Remote Sensing

Автор: Manjunath V. Joshi
Название: Multi-resolution Image Fusion in Remote Sensing
ISBN: 1108475124 ISBN-13(EAN): 9781108475129
Издательство: Cambridge Academ
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Цена: 74970.00 T
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Описание: Presenting new advances in the field, this text will be a valuable reference for the students and researchers of image processing, multi-spectral imaging and remote sensing. It discusses tools and techniques of multi resolution image fusion with the necessary mathematical background.


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