Digital earth visualization analysis (14 Ergebnisse)
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Taschenbuch. Zustand: 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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Buch. Zustand: Neu. Neuware - Digital Earth is a virtual representation of the Earth that allows users to explore and engage with massive amounts of historical, natural as well as cultural data about the planet. It is made up of Earth observation data that is multi-typed, multi-resolution, and multi-temporal. It also encompasses… socio-economic data integrated with suitable analysis algorithms and models. The visualization of digital Earth includes a digitally formatted Earth that is directly accessible to internet-connected global inhabitants. Digital Earth employs digital technologies to model Earth systems including the social and cultural facets, which characterize human societies on Earth. This book is a compilation of chapters that discuss the most vital concepts on digital Earth. It aims to shed light on some of the unexplored aspects related to its visualization, analysis and future trends. This book is a complete source of knowledge on the present status of this important area of study.
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Buch. Zustand: Neu. Neuware - Digital Earth is a virtual representation of the Earth that allows users to explore and engage with massive amounts of historical, natural as well as cultural data about the planet. It is made up of Earth observation data that is multi-typed, multi-resolution, and multi-temporal. It also encompasses… socio-economic data integrated with suitable analysis algorithms and models. The visualization of digital Earth includes a digitally formatted Earth that is directly accessible to internet-connected global inhabitants. Digital Earth employs digital technologies to model Earth systems including the social and cultural facets, which characterize human societies on Earth. This book is a compilation of chapters that discuss the most vital concepts on digital Earth. It aims to shed light on some of the unexplored aspects related to its visualization, analysis and future trends. This book is a complete source of knowledge on the present status of this important area of study.
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Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2018
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Taschenbuch. Zustand: 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-m…ade 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. Zustand: 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 lan…d 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. Zustand: Neu. Neuware - Digital Earth is a virtual representation of the Earth that allows users to explore and engage with massive amounts of historical, natural as well as cultural data about the planet. It is made up of Earth observation data that is multi-typed, multi-resolution, and multi-temporal. It also encompasses… socio-economic data integrated with suitable analysis algorithms and models. The visualization of digital Earth includes a digitally formatted Earth that is directly accessible to internet-connected global inhabitants. Digital Earth employs digital technologies to model Earth systems including the social and cultural facets, which characterize human societies on Earth. This book is a compilation of chapters that discuss the most vital concepts on digital Earth. It aims to shed light on some of the unexplored aspects related to its visualization, analysis and future trends. This book is a complete source of knowledge on the present status of this important area of study.
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Buch. Zustand: Neu. Neuware - Digital Earth is a virtual representation of the Earth that allows users to explore and engage with massive amounts of historical, natural as well as cultural data about the planet. It is made up of Earth observation data that is multi-typed, multi-resolution, and multi-temporal. It also encompasses… socio-economic data integrated with suitable analysis algorithms and models. The visualization of digital Earth includes a digitally formatted Earth that is directly accessible to internet-connected global inhabitants. Digital Earth employs digital technologies to model Earth systems including the social and cultural facets, which characterize human societies on Earth. This book is a compilation of chapters that discuss the most vital concepts on digital Earth. It aims to shed light on some of the unexplored aspects related to its visualization, analysis and future trends. This book is a complete source of knowledge on the present status of this important area of study.
Big Data for Remote Sensing: Visualization, Analysis and Interpretation - Digital Earth and Smart Earth
Dey, Nilanjan (Edited by)/ Bhatt, Chintan (Edited by)/ Ashour, Amira S. (Edited by)
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