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In den WarenkorbZustand: New.
Verlag: Springer International Publishing, 2023
ISBN 10: 3031339312 ISBN 13: 9783031339318
Sprache: Englisch
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In den WarenkorbZustand: Hervorragend. Zustand: Hervorragend | Seiten: 308 | Sprache: Englisch | Produktart: Bücher.
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ISBN 10: 7535979688 ISBN 13: 9787535979681
Sprache: Englisch
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In den Warenkorbpaperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2023-04 Pages: 150 Publisher: Guangdong Science and Technology Press This book is a sub-volume of the second series of the World of 5G series. Agriculture is one of the industries most closely integrated with the development of information and communication technology. With the commercialization and popularization of 5G technology. the development of smart agriculture has also ushered in greater benefits. With the help of 5G technology. the agricultural f.
Verlag: Springer International Publishing, Springer International Publishing Dez 2018, 2018
ISBN 10: 3030078957 ISBN 13: 9783030078959
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware -This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science.Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data.The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervised/unsupervised classification algorithms, support vector machines, artificial neural networks, fuzzy logic, decision-making algorithms, and Time Series Model and Forecasting are addressed.This book guides engineers, designers, and researchers to exploit the intrinsic design remote sensing systems. The book gathers remarkable material from an international experts' panel to guide the readers during the development of earth big data analytics and their challenges.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 168 pp. Englisch.
Verlag: Springer International Publishing, Springer International Publishing Jun 2018, 2018
ISBN 10: 3319899228 ISBN 13: 9783319899220
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
EUR 160,49
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In den WarenkorbBuch. Zustand: Neu. Neuware -This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science.Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data.The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervised/unsupervised classification algorithms, support vector machines, artificial neural networks, fuzzy logic, decision-making algorithms, and Time Series Model and Forecasting are addressed.This book guides engineers, designers, and researchers to exploit the intrinsic design remote sensing systems. The book gathers remarkable material from an international experts' panel to guide the readers during the development of earth big data analytics and their challenges.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 168 pp. Englisch.
Verlag: Springer Nature Switzerland Jul 2024, 2024
ISBN 10: 3031339347 ISBN 13: 9783031339349
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
EUR 171,19
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware -This monograph provides comprehensive coverage of the collection, management, and use of big data obtained from remote sensing. The book begins with an introduction to the basics of big data and remote sensing, laying the groundwork for the more specialized information to follow. The volume then goes on to address a wide variety of topics related to the use and management of remote sensing big data, including hot topics such as analysis through machine learning, cyberinfrastructure, and modeling. Examples on how to use the results of big data analysis of remotely sensed data for concrete decision-making are offered as well. The closing chapters discuss geospatial big data initiatives throughout the world and future challenges and opportunities for remote sensing big data applications.The audience for this book includes researchers at the intersection of geoscience and data science, senior undergraduate and graduate students, and anyone else interested in how large datasets obtained through remote sensing can be best utilized. The book presents a culmination of 30 years of research from renowned spatial scientists Drs. Liping Di and Eugene Yu.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 308 pp. Englisch.
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EUR 171,98
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In den Warenkorbpaperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2024-03 Pages: 184 Publisher: Science Press Marine remote sensing big data is an important pillar of marine big data. This book fully condenses the work results of the author team in recent years on the generation and analysis of marine remote sensing big data. The book has 8 chapters. which deeply reveal the connotation and characteristics of marine remote sensing big data. introduce the information generation technology of marine remote sensing big data.
Verlag: Elsevier - Health Sciences Division, Philadelphia, 2026
ISBN 10: 0443267413 ISBN 13: 9780443267413
Sprache: Englisch
Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: new. Paperback. Remote Sensing, Big Data, and GeoAI: Exploring Applications with Geospatial Insights is an in-depth analysis of the transformative power of AI and Big Data in remote sensing. This book provides readers with the knowledge and tools to utilize these technologies to enhance decision-making and analysis. Starting from fundamental concepts, it progresses to advanced applications, offering accessible explanations and real-world examples to bridge the gap between theory and practice.The book uses a structured format to balance theoretical knowledge with immersive case studies, giving readers a deeper understanding of practical implications.It also covers ethical and legal considerations, making it an invaluable resource for researchers, professionals, and students keen on using AI and Big Data techniques in remote sensing to solve complex geospatial challenges. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Anbieter: liu xing, Nanjing, JS, China
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In den WarenkorbHardcover. Zustand: New. Language:Chinese.HardCover.Pub Date:2024-03 Pages:294 Publisher:Science Press:This book focuses on the technological frontier of ecological big data platform based on remote sensing cloud computing. and systematically expounds on it from three aspects: theory. method. and practice. First. it introduces the background. basic concepts. and principles of ecological big data platform based on remote sensing cloud computing; secondly. it introduces the data. methods. and key technologies of ecolog.
Verlag: Engineering Science Reference, 2018
ISBN 10: 1522536434 ISBN 13: 9781522536437
Sprache: Englisch
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 217,01
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In den WarenkorbZustand: New. In.
Anbieter: liu xing, Nanjing, JS, China
EUR 226,67
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In den Warenkorbpaperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2024-06 Pages: 312 Publisher: Science Press This book revolves around the remote sensing big data monitoring methods of natural resources. and focuses on the important role of remote sensing big data and cloud computing in natural resource monitoring. By using massive remote sensing images and the high-speed computing power of cloud computing. combined with machine learning and change detection algorithms. high temporal resolution and high spatial resolut.
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In den WarenkorbHardcover. Zustand: New. HardCover.Pub Date:2021-02-01 Pages:226 Language:Chinese Publisher:Science Press Remote Sensing Big Data Retrieval systematically analyzes remote sensing big data retrieval requirements. introduces the scientific issues and key technologies involved in remote sensing big data retrieval. and proposes Several new models and methods for content-based remote sensing image retrieval. focusing on the analysis of remote sensing image retrieval based on traditional visual features. remote sensing ima.
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In den Warenkorbpaperback. Zustand: New. Paperback.Pub Date:2020-08-01 Pages:367 Language:Chinese Publisher:Science Press intelligently extracts remote sensing images as geographic information. and provides a benchmark for location discovery and spatio-temporal correlation for geographic big data mining. It is the current remote sensing recognition Challenges and opportunities faced by the Institute of Knowledge.?Remote Sensing Big Data Intelligent Computing integrates geographic analysis ideas. map cognition theory and machine lear.