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Remote Sensing Image Fusion, Pohl, Christine , van Genderen, John


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Цена: 54090.00T
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Автор: Pohl, Christine , van Genderen, John
Название:  Remote Sensing Image Fusion
ISBN: 9780367873615
Издательство: Taylor&Francis
Классификация:



ISBN-10: 0367873613
Обложка/Формат: Paperback
Страницы: 288
Вес: 0.53 кг.
Дата издания: 20.12.2019
Язык: English
Размер: 235 x 159
Читательская аудитория: Tertiary education (us: college)
Основная тема: Image Processing
Подзаголовок: A Practical Guide
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Европейский союз
Описание: Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing image fusion providing an overview on the sensors and applications. It describes data selection, application requirements and the choice of a suitable image fusion technique. It comprises a diverse selection of successful image fusion cases th

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
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

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
Наличие на складе: Поставка под заказ.
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.

Remote Sensing Image Fusion

Автор: Alparone, Luciano , Aiazzi, Bruno , Baronti, Ste
Название: Remote Sensing Image Fusion
ISBN: 0367868180 ISBN-13(EAN): 9780367868185
Издательство: Taylor&Francis
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Цена: 54090.00 T
Наличие на складе: Невозможна поставка.
Описание: A synthesis of more than ten years of experience, this book covers methods specifically designed for remote sensing imagery. The authors supply a comprehensive classification system and rigorous mathematical description of advanced and state-of-the-art methods for pansharpening of multispectral images, fusion of hyperspectral and panchromatic im

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
Рейтинг:
Цена: 130610.00 T
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Remote Sensing Image Analysis: Including the Spatial Domain

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: 87070.00 T
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Описание: Including a CD-ROM with colour images printed in B&W in the book itself

Remote Sensing Digital Image Analysis

Автор: John A. Richards
Название: Remote Sensing Digital Image Analysis
ISBN: 3642441017 ISBN-13(EAN): 9783642441011
Издательство: Springer
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Цена: 74530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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: 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
Наличие на складе: Невозможна поставка.
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.

Image Registration for Remote Sensing

Автор: Jacqueline Le Moigne, Nathan S. Netanyahu, Roger D. Eastman
Название: Image Registration for Remote Sensing
ISBN: 1108445756 ISBN-13(EAN): 9781108445757
Издательство: Cambridge Academ
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Цена: 62310.00 T
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Описание: This book provides a summary of current research in the application of image registration to satellite imagery. Presenting algorithms for creating mosaics and tracking changes on the planet`s surface over time, it is an indispensable resource for researchers and advanced students in Earth and space science, and image processing.

Big Data Analytics for Satellite Image Processing and Remote Sensing

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: 208830.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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: 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
Наличие на складе: Невозможна поставка.
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.


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