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hardcover. Zustand: Gut. 352 Seiten; 9783642142116.3 Gewicht in Gramm: 1.
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Taschenbuch. Zustand: Neu. TIME REVERSAL BASED SIGNAL PROCESSING TECHNIQUES | ALGORITHMS AND APPLICATIONS ON ULTRAWIDEBAND ELECTROMAGNETIC REMOTE SENSING | Mehmet Emre Yavuz | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639168747 | 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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In den WarenkorbZustand: New. Prof. C.H. Chen received his Ph. D in electrical engineering from Purdue University West Lafayette, Indiana, in 1965, his MSEE from the University of Tennessee, Knoxville, in 1962, and his BSEE from the National Taiwan University, Taipei in 1959. He is c.
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 352 | Sprache: Englisch | Produktart: Bücher | Optical remote sensing relies on exploiting multispectral and hyper spectral imagery possessing high spatial and spectral resolutions respectively. These modalities, although useful for most remote sensing tasks, often present challenges that must be addressed for their effective exploitation. This book presents current state-of-the-art algorithms that address the following key challenges encountered in representation and analysis of such optical remotely sensed data.Challenges in pre-processing images, storing and representing high dimensional data, fusing different sensor modalities, pattern classification and target recognition, visualization of high dimensional imagery.
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Sprache: Englisch
Verlag: Taylor & Francis Ltd Jun 2026, 2026
ISBN 10: 1032465093 ISBN 13: 9781032465098
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Taschenbuch. Zustand: Neu. Neuware - Advances in signal and image processing for remote sensing have been tremendous in recent years. The progress has been particularly significant with the use of deep learning based techniques to solve remote sensing problems. These advancements are the focus of this third edition of Signal and Image Processing for Remote Sensing. It emphasizes the use of machine learning approaches for the extraction of remote sensing information. Other topics include change detection in remote sensing and compressed sensing. With 19 new chapters written by world leaders in the field, this book provides an authoritative examination and offers a unique point of view on signal and image processing.Features - Includes all new content and does not replace the previous edition - Covers machine learning approaches in both signal and image processing for remote sensing - Studies deep learning methods for remote sensing information extraction that is found in other books - Explains SAR, microwave, seismic, GPR, and hyperspectral sensors and all sensors considered - Discusses improved pattern classification approaches and compressed sensing approaches - Provides ample examples of each aspect of both signal and image processing This book is intended for university academics, researchers, postgraduate students, industry, and government professionals who use remote sensing and its applications.
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In den WarenkorbZustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Taschenbuch. Zustand: Neu. Optical Remote Sensing | Advances in Signal Processing and Exploitation Techniques | Saurabh Prasad (u. a.) | Taschenbuch | Augmented Vision and Reality | viii | Englisch | 2013 | Springer | EAN 9783642267475 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2011
ISBN 10: 3642142117 ISBN 13: 9783642142116
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Optical remote sensing relies on exploiting multispectral and hyper spectral imagery possessing high spatial and spectral resolutions respectively. These modalities, although useful for most remote sensing tasks, often present challenges that must be addressed for their effective exploitation. This book presents current state-of-the-art algorithms that address the following key challenges encountered in representation and analysis of such optical remotely sensed data.Challenges in pre-processing images, storing and representing high dimensional data, fusing different sensor modalities, pattern classification and target recognition, visualization of high dimensional imagery.
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In den WarenkorbZustand: New. In.
Zustand: gut. 2011. Optical Remote Sensing: Advances in Signal Processing and Exploitation Techniques (Augmented Vision and Reality, 3, Band 3) In deutscher Sprache. pages.