Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 333000827X ISBN 13: 9783330008274
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In den WarenkorbPaperback. Zustand: Brand New. 136 pages. 8.66x5.91x0.31 inches. In Stock.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6209050697 ISBN 13: 9786209050695
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Taschenbuch. Zustand: Neu. DIGITAL FIR FILTER DESIGN USING DSP PROCESSOR | Saurabh Prasad (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786209050695 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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hardcover. Zustand: Gut. 352 Seiten; 9783642142116.3 Gewicht in Gramm: 1.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 333000827X ISBN 13: 9783330008274
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Taschenbuch. Zustand: Neu. Radio over Fiber Technology for Wireless Communication | An Approach for Designing Simple Low Cost Cellular Base Station | Saurabh Prasad (u. a.) | Taschenbuch | 136 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783330008274 | 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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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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In den WarenkorbPaperback. Zustand: Brand New. 220 pages. 9.25x6.10x0.52 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 218 pages. 9.25x6.10x0.71 inches. In Stock.
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Taschenbuch. Zustand: Neu. A Journey Towards Bio-inspired Techniques in Software Engineering | Jagannath Singh (u. a.) | Taschenbuch | Intelligent Systems Reference Library | viii | Englisch | 2021 | Springer | EAN 9783030409302 | 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 International Publishing, 2021
ISBN 10: 3030409309 ISBN 13: 9783030409302
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers a range of basic and advanced topics in software engineering. The field has undergone several phases of change and improvement since its invention, and there is significant ongoing research in software development, addressing aspects such as analysis, design, testing and maintenance. Rather than focusing on a single aspect of software engineering, this book provides a systematic overview of recent techniques, including requirement gathering in the form of story points in agile software, and bio-inspired techniques for estimating the effort, cost, and time required for software development. As such it is a valuable resource for new researchers interested in advances in software engineering - particularly in the area of bio-inspired techniques.
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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.
Taschenbuch. Zustand: Neu. Hyperspectral Image Analysis | Advances in Machine Learning and Signal Processing | Saurabh Prasad (u. a.) | Taschenbuch | Advances in Computer Vision and Pattern Recognition | vi | Englisch | 2021 | Springer | EAN 9783030386191 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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In den WarenkorbZustand: New. Covers the latest machine learning and signal processing techniques that can effectively leverage multimodal geospatial imagery at scaleChapters cover a variety of algorithmic frameworks pertaining to GeoAI, including superresolution, self-.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2013
ISBN 10: 3642267475 ISBN 13: 9783642267475
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. 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.
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.
Sprache: Englisch
Verlag: Springer International Publishing, 2021
ISBN 10: 3030386198 ISBN 13: 9783030386191
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models,anomalouschange detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding.It presents research from leading international experts who have made foundational contributions in these areas.The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas ofimage analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful.
Sprache: Englisch
Verlag: Springer International Publishing, 2020
ISBN 10: 3030386163 ISBN 13: 9783030386160
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models,anomalouschange detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding.It presents research from leading international experts who have made foundational contributions in these areas.The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas ofimage analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful.
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In den WarenkorbPaperback. Zustand: Brand New. 2011 edition. 352 pages. 9.25x6.10x0.80 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 349 pages. 9.25x6.00x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2021
ISBN 10: 3030386198 ISBN 13: 9783030386191
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 236,58
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In den WarenkorbPaperback. Zustand: Brand New. 472 pages. 9.25x6.10x0.95 inches. In Stock.
Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2020
ISBN 10: 3030386163 ISBN 13: 9783030386160
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 238,62
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In den WarenkorbHardcover. Zustand: Brand New. 466 pages. 9.25x6.00x1.25 inches. In Stock.
Zustand: New.
Zustand: New.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Advances in Machine Learning and Image Analysis for GeoAI provides state-of-the-art machine learning and signal processing techniques for a comprehensive collection of geospatial sensors and sensing platforms. The book covers supervised, semi-supervised and unsupervised geospatial image analysis, sensor fusion across modalities, image super-resolution, transfer learning across sensors and time-points, and spectral unmixing, among other topics. The chapters in these thematic areas cover a variety of algorithmic frameworks such as variants of convolutional neural networks, graph convolutional networks, multi-stream networks, Bayesian networks, generative adversarial networks, transformers, and more. This book provides graduate students, researchers, and practitioners in the area of signal processing and geospatial image analysis with the latest techniques to implement deep learning strategies in their research.