remote sensing models methods (34 resultados)

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Hardcover. Condición: Very Good. Academic Press, 1997. Second Edition, Third Edition. Schowengerdt, Robert A. AS NEW hardcover. No DJ as issued. Boards flat and glossy clean. Pages crisp and white/unmarked. Unread copy. 0126289816. Packaged using bubble wrap and a sturdy cardboard box. Tracking number provided for no extra cost. Thank you for supporting our small, family owned book store.

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hardcover. Condición: Good. Clean Pages. Previous owners name along long edge in blue marker. Proceeds benefit the Pima County Public Library system, which serves Tucson and southern Arizona. Slight edge wear and bumping.

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Hardcover. Condición: Brand New. 3rd edition. 515 pages. 9.25x7.50x1.25 inches. In Stock.

Taschenbuch. Condición: Neu. Remote Sensing of Vegetation by Polarimetric Space Interferometers | Models and Methods | Marco Lavalle | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659233692 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Taschenbuch. Condición: Neu. Mathematical Models for Remote Sensing Image Processing | Models and Methods for the Analysis of 2D Satellite and Aerial Images | Gabriele Moser (u. a.) | Taschenbuch | Signals and Communication Technology | x | Englisch | 2018 | Springer | EAN 9783319882192 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condición: New. Softcover reprint of the original 1st ed. 2018 edition NO-PA16APR2015-KAP.

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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 methodologicaland 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.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 methodologicaland 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.

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paperback. Condición: New. Paperback. Pub Date: 2010 Pages: 339 Language: Chinese in Publisher: Electronic Industry Press book is of Remote Sensing classic textbook written by the author on the basis of long-term teaching remote sensing courses. Departure from remote sensing essentially a progressive approach to the mathematical and physical models of the physical model of remote sensing images. geometric model. data model. image processing method of spectral transform space conversion. geometric correction and radiome.

Condición: new. Questo è un articolo print on demand.

Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over the last few years satellite remote sensing has become a standard tool for monitoring the properties and the evolution of vegetation on Earth. This book addresses primarily the role that polarimetric and interferometric radars play in forest remote sensing. The first two chapters introduce the basics of synthetic aperture radars and microwave scattering modeling. Chapter three treats the topic of polarimetric interferometry and presents a physical model of decorrelation that occurs in forest canopies observed by a repeat-pass radar interferometer. Chapter four deals with the topic of compact polarimetric-interferometry and examines the performance of this new imaging mode in contrast to full polarimetric interferometry. Finally, chapter five discusses the quality of polarimetric radar data and the algorithms for radiometric calibration and Faraday rotation estimation. The emphasis of the book is on the modeling aspects and the design of new algorithms. The book should be especially useful to radar engineers and ecosystem scientists who consider using polarimetric and interferometric techniques for the remote sensing of the terrestrial environment.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Remote sensing is a technology that engages electromagnetic sensors to measure and monitor changes in the earth's surface and atmosphere. Normally this is accomplished through the use of a satellite or aircraft. Remote Sensing, in its third edition, seamlessly connects the art and science of earth remote sensing with the latest interpretative tools and techniques of computer-aided image processing. Newly expanded and updated, this edition delivers more of the applied scientific theory and practical results that helped the previous editions earn wide acclaim and become classroom and industry standards. Dr. Schowengerdt presents an advanced unified framework and rationale that uniquely empowers the reader with the latest critical thinking skills and prerequisite knowledge needed to successfully design, develop and incorporate maintainable remote sensing solutions for real-world application. Advanced remote sensing image processing techniques such as hyperspectral image analysis, fusion of multisensor images and digital elevation model extraction from stereo imagery are discussed theoretically in terms of spectral, spatial, and geometric models. An expanded exercise section is also included at the end of each chapter allowing for the greatest level of mastery ever.