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Remote Sensing Big Data
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 62.77
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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$ 85.93
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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
US$ 82.99
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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
US$ 91.50
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Remote Sensing Big Data (Springer Remote Sensing/Photogrammetry)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 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
US$ 189.41
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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$ 189.41
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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$ 189.41
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 308 | Sprache: Englisch | Produktart: Bücher | 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.
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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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Taschenbuch. Condition: Neu. Big Data for Remote Sensing: Visualization, Analysis and Interpretation | Digital Earth and Smart Earth | Nilanjan Dey (u. a.) | Taschenbuch | xiv | Englisch | 2018 | Springer | EAN 9783030078959 | 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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Condition: New. pp. 308.
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Condition: New.
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Big Data Analytics for Satellite Image Processing and Remote Sensing
Language: English
Published by Engineering Science Reference, 2018
ISBN 10: 1522536434 ISBN 13: 9781522536437
Condition: New.
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Taschenbuch. Condition: Neu. Remote Sensing Big Data | Liping Di (u. a.) | Taschenbuch | xi | Englisch | 2024 | Springer | EAN 9783031339349 | 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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Big Data for Remote Sensing: Visualization, Analysis and Interpretation : Digital Earth and Smart Earth
Language: English
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3030078957 ISBN 13: 9783030078959
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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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
Seller rating 5 out of 5 stars
US$ 248.52
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Big Data Analytics for Satellite Image Processing and Remote Sensing
Language: English
Published by Engineering Science Reference, 2018
ISBN 10: 1522536434 ISBN 13: 9781522536437
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 248.51
US$ 20.01 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Big Data Analytics for Satellite Image Processing and Remote Sensing
Language: English
Published by Engineering Science Reference, 2018
ISBN 10: 1522536434 ISBN 13: 9781522536437
Condition: As New. Unread book in perfect condition.
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Remote Sensing Big Data
Language: English
Published by Springer International Publishing, 2024
ISBN 10: 3031339347 ISBN 13: 9783031339349
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
-
Remote Sensing Big Data
Language: English
Published by Springer International Publishing, 2023
ISBN 10: 3031339312 ISBN 13: 9783031339318
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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US$ 268.31
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Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 154 pages. 9.25x6.25x0.50 inches. In Stock.
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Condition: New.
