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Paperback. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 0.53.
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Condition: New.
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Remote Sensing Big Data
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 61.45
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Condition: As New. Unread book in perfect condition.
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Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration: Big Data Processing and Deep Fusion Learning Techniques
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 84.27
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Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration: Big Data Processing and Deep Fusion Learning Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration: Big Data Processing and Deep Fusion Learning Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Remote Sensing Big Data (Springer Remote Sensing/Photogrammetry)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Very Good.
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Remote Sensing Big Data (Hardcover)
Language: English
Published by Springer International Publishing AG, Cham, 2023
ISBN 10: 3031339312 ISBN 13: 9783031339318
Hardcover. Condition: new. Hardcover. 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. This monograph provides comprehensive coverage of the collection, management, and use of big data obtained from remote sensing. The closing chapters discuss geospatial big data initiatives throughout the world and future challenges and opportunities for remote sensing big data applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Big Data for Remote Sensing: Visualization, Analysis and Interpretation: Digital Earth and Smart Earth
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Remote Sensing Big Data (Springer Remote Sensing/Photogrammetry)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 186.27
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Big Data for Remote Sensing: Visualization, Analysis and Interpretation: Digital Earth and Smart Earth
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 186.27
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5G world. smart agriculture. 5G technology applications. satellite remote sensing. 5G big data. artificial intelligence. digital farming. technology seeding. rural revitalization. information interconnection. Guangdong science and technology(Chinese Edition)
Language: English
ISBN 10: 7535979688 ISBN 13: 9787535979681
paperback. Condition: 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.
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paperback. Condition: 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.
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Hardcover. Condition: 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.
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Big Data For Remote Sensing Visualizat
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New. pp. 308.
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Condition: New.
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Big Data Analytics for Satellite Image Processing and Remote Sensing (Advances in Computer and Electrical Engineering)
Language: English
Published by Engineering Science Reference, 2018
ISBN 10: 1522536434 ISBN 13: 9781522536437
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 244.54
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Big Data for Remote Sensing: Visualization, Analysis and Interpretation
Language: English
Published by Springer International Publishing, Springer International Publishing Dez 2018, 2018
ISBN 10: 3030078957 ISBN 13: 9783030078959
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Big Data Analytics for Satellite Image Processing and Remote Sensing (Advances in Computer and Electrical Engineering)
Language: English
Published by Engineering Science Reference, 2018
ISBN 10: 1522536434 ISBN 13: 9781522536437
Condition: New.
