Описание: An up-to-date analysis of the SAR wavefront reconstruction signal theory and its digital implementation. With the advent of fast computing and digital information processing techniques, synthetic aperture radar (SAR) technology has become both more powerful and more accurate.
Автор: Chen Название: Principles of Synthetic Aperture Radar Imaging ISBN: 1466593148 ISBN-13(EAN): 9781466593145 Издательство: Taylor&Francis Рейтинг: Цена: 25265.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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.
Название: Guide to Signals and Patterns in Image Processing ISBN: 3319141716 ISBN-13(EAN): 9783319141718 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text reviews the field of digital image processing from the different perspectives offered by the separate domains of signal processing and pattern recognition. Features: covers image enhancement techniques in the spatial domain, the frequency domain, and the wavelet domain;
Описание: Constitutes the proceedings of the 13th conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, held in Dortmund, Germany, in June 2010.
Описание: This textbook is an overview of theories, methodologies, and recent developments in the field, covering the theoretical foundation and providing a complete summary of the latest advances. It also presents key issues to be considered in making a real system.
Автор: Ernesto Damiani; Albert Dipanda; Kokou Yetongnon; Название: Signal Processing for Image Enhancement and Multimedia Processing ISBN: 1441944427 ISBN-13(EAN): 9781441944429 Издательство: Springer Рейтинг: Цена: 27951.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents the state-of-the-art and recent research results on the application of advanced signal processing techniques for improving the value of image and video data. It is designed for a professional audience.
Автор: Parker J J Название: Algorithms for Image Processing and Computer Vision ISBN: 0470643854 ISBN-13(EAN): 9780470643853 Издательство: Wiley Рейтинг: Цена: 12514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Programmers, scientists, and engineers are always in need of newer techniques and algorithms to manipulate and interpret images. Algorithms for Image Processing and Computer Vision is an accessible collection of algorithms for common image processing applications that simplifies complicated mathematical calculations.
Автор: Paul Fieguth Название: Statistical Image Processing and Multidimensional Modeling ISBN: 1461427053 ISBN-13(EAN): 9781461427056 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Examples abound throughout remote sensing (satellite data mapping, data assimilation, climate-change studies, land use), medical imaging (organ segmentation, anomaly detection), computer vision (image classification, segmentation), and other 2D/3D problems (biological imaging, porous media).
Автор: Chan, Tony F. Jianhong, Shen Название: Image processing and analysis ISBN: 089871589X ISBN-13(EAN): 9780898715897 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 12540.00 р. Наличие на складе: Нет в наличии.
Описание: This book develops the mathematical foundation of modern image processing and low-level computer vision, bridging contemporary mathematics with state-of-the-art methodologies in modern image processing, whilst organizing contemporary literature into a coherent and logical structure. The authors have integrated the diversity of modern image processing approaches by revealing the few common threads that connect them to Fourier and spectral analysis, the machinery that image processing has been traditionally built on. The text is systematic and well organized: the geometric, functional, and atomic structures of images are investigated, before moving to a rigorous development and analysis of several image processors. The book is comprehensive and integrative, covering the four most powerful classes of mathematical tools in contemporary image analysis and processing while exploring their intrinsic connections and integration. The material is balanced in theory and computation, following a solid theoretical analysis of model building and performance with computational implementation and numerical examples.
Автор: Srivastava, Singh & Shukla Название: Research Developments In Computer Vision And Image Processing ISBN: 146664558X ISBN-13(EAN): 9781466645585 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 28413.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Similar to the way in which computer vision and computer graphics act as the dual fields that connect image processing in modern computer science, the field of image processing can be considered a crucial middle road between the vision and graphics fields. <br><br><em>Research Developments in Computer Vision and Image Processing: Methodologies and Applications</em> brings together various research methodologies and trends in emerging areas of application of computer vision and image processing. This book is useful for students, researchers, scientists, and engineers interested in the research developments of this rapidly growing field.
Автор: Geoff Dougherty Название: Medical Image Processing ISBN: 1461430224 ISBN-13(EAN): 9781461430223 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines the conceptual framework of image analysis and the effective use of image processing tools, using applications in many fields to demonstrate and consolidate specific and general concepts, and to build intuition, insight and understanding.
Автор: Hayes, Monson H. Название: Statistical digital signal processing and modeling ISBN: 0471594318 ISBN-13(EAN): 9780471594314 Издательство: Wiley Рейтинг: Цена: 45636.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book responds to the dramatic growth in digital signal processing (DSP) over the past decade. While its focal point is signal modeling, the book integrates and explores the relationships of signal modeling to the important problems of optimal filtering, spectral estimation, and adaptive filtering.
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