Image Registration for Remote Sensing, Jacqueline Le Moigne, Nathan S. Netanyahu, Roger D. Eastman

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.

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: 19591.00 р.
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Автор: Steven M. de Jong; Freek D. van der Meer
Название: Remote Sensing Image Analysis: Including the Spatial Domain
ISBN: 9401740615 ISBN-13(EAN): 9789401740616
Издательство: Springer
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Цена: 13060.00 р.
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Описание: Including a CD-ROM with colour images printed in B&W in the book itself

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: 22359.00 р.
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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.

Автор: P. Swarnalatha, Prabu Sevugan
Название: Big Data Analytics for Satellite Image Processing and Remote Sensing
ISBN: 1522536434 ISBN-13(EAN): 9781522536437
Издательство: Mare Nostrum (Eurospan)
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Цена: 31324.00 р.
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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.

Автор: John A. Richards
Название: Remote Sensing Digital Image Analysis
ISBN: 3642441017 ISBN-13(EAN): 9783642441011
Издательство: Springer
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Цена: 11179.00 р.
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Описание: Now in an updated edition that adds new and revised material, this book offers a comprehensive introduction to quantitative evaluation of satellite and aircraft derived remotely retrieved data. Each chapter includes practice problems.

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: 11246.00 р.
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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.